Advanced Computing,
Mathematics, and Data
Advanced Computing,
Mathematics, and Data
2024
Świrydowicz, K., Koukpaizan, N., Ribizel, T., Göbel, F., Abhyankar, S., Anzt, H., Peleš, S. (2024). ”GPU-resident sparse direct linear solvers for alternating current optimal power flow analysis”, International Journal of Electrical Power and Energy Systems, 155 (-), -. DOI: 10.1016/j.ijepes.2023.109517
Cao, Q., Goswami, S., Tripura, T., Chakraborty, S., Karniadakis, G.E. (2024). ”Deep neural operators can predict the real-time response of floating offshore structures under irregular waves”, Computers and Structures, 291 (-), -. DOI: 10.1016/j.compstruc.2023.107228
Yeung, Y.-H., Tipireddy, R., Barajas-Solano, D.A., Tartakovsky, A.M. (2024). ”Conditional Karhunen–Loève regression model with Basis Adaptation for high-dimensional problems: Uncertainty quantification and inverse modeling”, Computer Methods in Applied Mechanics and Engineering, 418 (-), -.DOI: 10.1016/j.cma.2023.116487
2023
Chen, J.-A., Sung, H.-H., Shen, X., Tallent, N., Barker, K., Li, A. (2023). ”Accelerating matrix-centric graph processing on GPUs through bit-level optimizations”, Journal of Parallel and Distributed Computing, 177 (-), 53-67. DOI: 10.1016/j.jpdc.2023.02.013
Tharzeen, A., Munikoti, S., Prakash, P., Kim, J., Natarajan, B. (2023). ”A General Spatiotemporal Imputation Framework for Missing Sensor Data”, Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023, - (-), 55-58. DOI: 10.1109/CAI54212.2023.00032
Leal, E., Wright-Hamor, C., Manzano, J., Multari, N., Barker, K., Manz, D., Ming, J. (2023). ”Assessing Risk in High Performance Computing Attacks”, International Conference on Information Systems Security and Privacy, - (-), 793-803. DOI: 10.5220/0011900500003405
Sharma, H., Suetterlein, J.D., Lakshmiranganatha, S., Flynn, T., Vrabie, D., Sweeney, C., Ramakrishniah, V. (2023). ”EXARL-PARS: Parallel Augmented Random Search Using Reinforcement Learning at Scale for Applications in Power Systems”, e-Energy 2023 Companion - Proceedings of the 14th ACM International Conference on Future Energy Systems, - (-), 134-139. DOI: 10.1145/3599733.3600261
Duffy, K., Gouhier, T.C., Ganguly, A.R. (2023). ”Author Correction: Climate-mediated shifts in temperature fluctuations promote extinction risk (Nature Climate Change, (2022), 12, 11, (1037-1044), 10.1038/s41558-022-01490-7)”, Nature Climate Change, 13 (5), -. DOI: 10.1038/s41558-023-01649-w
Gao, P., Muller, S.E., Chun, J., Zhong, L., Kennedy, Z.C. (2023). ”Effects of 2D filler on rheology of additive manufacturing polymers: Simulation and experiment on polyetherketoneketone-mica composites”, Polymer, 269 (-), -. DOI: 10.1016/j.polymer.2023.125722
Li, A., Stein, S., Krishnamoorthy, S., Ang, J. (2023). ”QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation”, ACM Transactions on Quantum Computing, 4 (2), -. DOI: 10.1145/3550488
Zong, Y., He, Q., Tartakovsky, A.M. (2023). ”Improved training of physics-informed neural networks for parabolic differential equations with sharply perturbed initial conditions”, Computer Methods in Applied Mechanics and Engineering, 414 (-), -. DOI: 10.1016/j.cma.2023.116125
Stein, S.A., Wiebe, N., Ding, Y., Ang, J., Li, A. (2023). ”Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum”, Proceedings - International Symposium on Computer Architecture, - (-), 102-114. DOI: 10.1145/3579371.3589043
Regev, S., Chiang, N.-Y., Darve, E., Petra, C.G., Saunders, M.A., Świrydowicz, K., Peleš, S. (2023). ”HyKKT: a hybrid direct-iterative method for solving KKT linear systems”, Optimization Methods and Software, 38 (2), 332-355. DOI: 10.1080/10556788.2022.2124990
Koch, J., Chen, Z., Tuor, A., Drgona, J., Vrabie, D. (2023). ”Structural inference of networked dynamical systems with universal differential equations”, Chaos, 33 (2), -. DOI: 10.1063/5.0109093
Tumeo, A. (2023). ”Message from the Workshop and Special Session Chair”, Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, - (-), -. DOI: 10.1145/3587135.3594557
Bauer, C.W., Davoudi, Z., Balantekin, A.B., Bhattacharya, T., Carena, M., De Jong, W.A., Draper, P., El-Khadra, A., Gemelke, N., Hanada, M., Kharzeev, D., Lamm, H., Li, Y.-Y., Liu, J., Lukin, M., Meurice, Y., Monroe, C., Nachman, B., Pagano, G., Preskill, J., Rinaldi, E., Roggero, A., Santiago, D.I., Savage, M.J., Siddiqi, I., Siopsis, G., Van Zanten, D., Wiebe, N., Yamauchi, Y., Yeter-Aydeniz, K., Zorzetti, S. (2023). ”Quantum Simulation for High-Energy Physics”, PRX Quantum, 4 (2), -. DOI: 10.1103/PRXQuantum.4.027001
Mutlu, E., Panyala, A., Gawande, N., Bagusetty, A., Glabe, J., Kim, J., Kowalski, K., Bauman, N.P., Peng, B., Pathak, H., Brabec, J., Krishnamoorthy, S. (2023). ”TAMM: Tensor algebra for many-body methods”, Journal of Chemical Physics, 159 (2), -. DOI: 10.1063/5.0142433
Khatir, M., Choudhary, N., Choudhury, S., Agarwal, K., Reddy, C.K. (2023). ”A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks”, IJCAI International Joint Conference on Artificial Intelligence, 2023- (-), 3875-3883. DOI: 10.24963/ijcai.2023/431
Neff, R., Minutoli, M., Tumeo, A., Becchi, M. (2023). ”High-Level Synthesis of Irregular Applications: A Case Study on Influence Maximization”, Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, - (-), 12-22. DOI: 10.1145/3587135.3592196
Xu, Y., Jia, H., Gao, P., Galvez-Aranda, D.E., Beltran, S.P., Cao, X., Le, P.M.L., Liu, J., Engelhard, M.H., Li, S., Ren, G., Seminario, J.M., Balbuena, P.B., Zhang, J.-G., Xu, W., Wang, C. (2023). ”Direct in situ measurements of electrical properties of solid–electrolyte interphase on lithium metal anodes”, Nature Energy, - (-), -. DOI: 10.1038/s41560-023-01361-1
Haghi, P., Krska, W., Tan, C., Geng, T., Chen, P.H., Greenwood, C., Guo, A., Hines, T., Wu, C., Li, A., Skjellum, A., Herbordt, M. (2023). ”FLASH: FPGA-Accelerated Smart Switches with GCN Case Study”, Proceedings of the International Conference on Supercomputing, - (-), 450-462. DOI: 10.1145/3577193.3593739
Herman, K.M., Stone, A.J., Xantheas, S.S. (2023). ”Accurate Calculation of Many-Body Energies in Water Clusters Using a Classical Geometry-Dependent Induction Model”, Journal of Chemical Theory and Computation, 19 (19), 6805-6815. DOI: 10.1021/acs.jctc.3c00575
Choudhury, S., Agarwal, K., Ham, C., Tamang, S. (2023). ”MediSage: An AI Assistant for Healthcare via Composition of Neural-Symbolic Reasoning Operators”, ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023, - (-), 258-261. DOI: 10.1145/3543873.3587361
Poudel, S., Black, G.D., Mukherjee, M., Reiman, A.P. (2023). ”Multi-Objective Power Distribution Operations: Characterizing Conflict and System Volatility”, IEEE Access, 11 (-), 103881-103889. DOI: 10.1109/ACCESS.2023.3318267
Kamatar, A., Friese, R., Gioiosa, R. (2023). ”A Task Based Approach for Co-Scheduling Ensemble Workloads on Heterogeneous Nodes”, 2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023, - (-), 6-15. DOI: 10.1109/IPDPSW59300.2023.00015
Scott, E.O., Coletti, M., Schuman, C.D., Kay, B., Kulkarni, S.R., Parsa, M., Gunaratne, C., De Jong, K.A. (2023). ”Avoiding excess computation in asynchronous evolutionary algorithms”, Expert Systems, 40 (5), -. DOI: 10.1111/exsy.13100
Li, Y., Geng, T., Stein, S., Li, A., Yu, H. (2023). ”GAAF: Searching Activation Functions for Binary Neural Networks Through Genetic Algorithm”, Tsinghua Science and Technology, 28 (1), 207-220. DOI: 10.26599/TST.2021.9010084
Jha, R.R., Poudel, S., Sharma, P., Dubey, A., Schneider, K.P. (2023). ”Volt/VAR Optimization (VVO) Application on GridAPPS-D Platform”, IEEE Power and Energy Society General Meeting, 2023- (-), -. DOI: 10.1109/PESGM52003.2023.10252419
Mukhopadhyay, P., Wiebe, N., Zhang, H.T. (2023). ”Synthesizing efficient circuits for Hamiltonian simulation”, npj Quantum Information, 9 (1), -. DOI: 10.1038/s41534-023-00697-6
Pan, Z., Sharma, A., Hu, J.Y.-C., Liu, Z., Li, A., Liu, H., Huang, M., Geng, T. (2023). ”Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty”, Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37 (-), 9354-9363. DOI: 10.1609/aaai.v37i8.26121
Chen, Y., Jin, Y., Hua, F., Hayes, A., Li, A., Shi, Y., Zhang, E.Z. (2023). ”A Pulse Generation Framework with Augmented Program-aware Basis Gates and Criticality Analysis”, Proceedings - International Symposium on High-Performance Computer Architecture, 2023- (-), 773-786. DOI: 10.1109/HPCA56546.2023.10070990
Howard, A.A., Perego, M., Karniadakis, G.E., Stinis, P. (2023). ”Multifidelity deep operator networks for data-driven and physics-informed problems”, Journal of Computational Physics, 493 (-), -. DOI: 10.1016/j.jcp.2023.112462
Herman, K.M., Xantheas, S.S. (2023). ”An extensive assessment of the performance of pairwise and many-body interaction potentials in reproducing ab initio benchmark binding energies for water clusters n = 2-25”, Physical Chemistry Chemical Physics, 25 (10), 7120-7143. DOI: 10.1039/d2cp03241d
Smith, K.C., Crane, E., Wiebe, N., Girvin, S.M. (2023). ”Deterministic Constant-Depth Preparation of the AKLT State on a Quantum Processor Using Fusion Measurements”, PRX Quantum, 4 (2), -. DOI: 10.1103/PRXQuantum.4.020315
Hixson, K.K., Fajardo, D.A., Devitt, N.P., Sena, J.A., Costa, M.A., Meng, Q., Boschiero, C., Zhao, P.X., Baack, E.J., Paurus, V.L., Davin, L.B., Lewis, N.G., Bell, C.J. (2023). ”Annotated genome sequence of a fast-growing diploid clone of red alder (Alnus rubra Bong.)”, G3: Genes, Genomes, Genetics, 13 (6), -. DOI: 10.1093/g3journal/jkad060
de la Torre, L., Halappanavar, M. (2023). ”Scaling Optimal Allocation of Cloud Resources Using Lagrange Relaxation”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14283 (-), 173-192. DOI: 10.1007/978-3-031-43943-8_9
Ahmed, S.E., San, O., Lakshmivarahan, S., Lewis, J.M. (2023). ”On the dual advantage of placing observations through forward sensitivity analysis”, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 479 (2274), -. DOI: 10.1098/rspa.2022.0815
Ahmed, A., Sadanandan, S.K., Pandey, S., Basumallik, S., Srivastava, A.K., Wu, Y. (2023). ”Event Analysis in Transmission Systems Using Spatial Temporal Graph Encoder Decoder (STGED)”, IEEE Transactions on Power Systems, 38 (6), 5329-5340. DOI: 10.1109/TPWRS.2022.3226209
Ganesh, M., Hawkins, S.C., Tartakovsky, A.M., Tipireddy, R. (2023). ”A STOCHASTIC DOMAIN DECOMPOSITION AND POST-PROCESSING ALGORITHM FOR EPISTEMIC UNCERTAINTY QUANTIFICATION”, International Journal for Uncertainty Quantification, 13 (5), 1-22. DOI: 10.1615/Int.J.UncertaintyQuantification.2023045687
Munikoti, S., Agarwal, D., Das, L., Halappanavar, M., Natarajan, B. (2023). ”Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications”, IEEE Transactions on Neural Networks and Learning Systems, - (-), 1-21. DOI: 10.1109/TNNLS.2023.3283523
Loaiza, I., Khah, A.M., Wiebe, N., Izmaylov, A.F. (2023). ”Reducing molecular electronic Hamiltonian simulation cost for linear combination of unitaries approaches”, Quantum Science and Technology, 8 (3), -. DOI: 10.1088/2058-9565/acd577
Zheng, M., Peng, B., Wiebe, N., Li, A., Yang, X., Kowalski, K. (2023). ”Quantum algorithms for generator coordinate methods”, Physical Review Research, 5 (2), -. DOI: 10.1103/PhysRevResearch.5.023200
Narayanan, N., Chen, Z., Fang, B., Li, G., Pattabiraman, K., Debardeleben, N. (2023). ”Fault Injection for TensorFlow Applications”, IEEE Transactions on Dependable and Secure Computing, 20 (4), 2677-2695. DOI: 10.1109/TDSC.2022.3175930
Naqvi, S.A.R., Chandan, V., Bhattacharya, S., Luo, N., Kar, K., Sivaraman, C., Radhakrishnan, N. (2023). ”Data-Driven Co-optimization of Energy Efficiency and Indoor Environmental Quality in Commercial Buildings”, e-Energy 2023 Companion - Proceedings of the 14th ACM International Conference on Future Energy Systems, - (-), 140-144. DOI: 10.1145/3599733.3600262
Nakayasu, E.S., Bramer, L.M., Ansong, C., Schepmoes, A.A., Fillmore, T.L., Gritsenko, M.A., Clauss, T.R., Gao, Y., Piehowski, P.D., Stanfill, B.A., Engel, D.W., Orton, D.J., Moore, R.J., Qian, W.-J., Sechi, S., Frohnert, B.I., Toppari, J., Ziegler, A.-G., Lernmark, Å., Hagopian, W., Akolkar, B., Smith, R.D., Rewers, M.J., Webb-Robertson, B.-J.M., Metz, T.O. (2023). ”Plasma protein biomarkers predict the development of persistent autoantibodies and type 1 diabetes 6 months prior to the onset of autoimmunity”, Cell Reports Medicine, 4 (7), -. DOI: 10.1016/j.xcrm.2023.101093
Fu, Y., Singh, R.K., Feng, S., Liu, J., Xiao, J., Bao, J., Xu, Z., Lu, D. (2023). ”Understanding of Low-Porosity Sulfur Electrode for High-Energy Lithium–Sulfur Batteries”, Advanced Energy Materials, 13 (13), -. DOI: 10.1002/aenm.202203386
Meuris, B., Qadeer, S., Stinis, P. (2023). ”Machine-learning-based spectral methods for partial differential equations”, Scientific Reports, 13 (1), -. DOI: 10.1038/s41598-022-26602-3
Palmer, B.J., Almgren, A.S., Johnson, C.G.M., Myers, A.T., Cannon, W.R. (2023). ”BMX: Biological modelling and interface exchange”, Scientific Reports, 13 (1), -. DOI: 10.1038/s41598-023-39150-1
Balusu, K., Choi, K.S., Das, H., Samanta, A., Upadhyay, P., Jana, S., Soulami, A. (2023). ”On the Utility of the Thermal-Pseudo Mechanical Model’s Residual Stress Prediction Capability for the Development of Friction Stir Processing”, International Journal of Advanced Manufacturing Technology, 126 (3-4), 1775-1788. DOI: 10.1007/s00170-023-11199-2
Ashfaq, M., Johnson, N., Kucharski, F., Diffenbaugh, N.S., Abid, M.A., Horan, M.F., Singh, D., Mahajan, S., Ghosh, S., Ganguly, A.R., Evans, K.J., Islam, S. (2023). ”The influence of natural variability on extreme monsoons in Pakistan”, npj Climate and Atmospheric Science, 6 (1), -. DOI: 10.1038/s41612-023-00462-8
Kohanpur, A.H., Saksena, S., Dey, S., Johnson, J.M., Riasi, M.S., Yeghiazarian, L., Tartakovsky, A.M. (2023). ”Urban Flood Modeling: Uncertainty Quantification and Physics-Informed Gaussian Processes Regression Forecasting”, Water Resources Research, 59 (3), -. DOI: 10.1029/2022WR033939
Ashtari Esfahani, A., Böser, S., Buzinsky, N., Carmona-Benitez, M.C., Claessens, C., De Viveiros, L., Doe, P.J., Fertl, M., Formaggio, J.A., Gaison, J.K., Gladstone, L., Grando, M., Guigue, M., Hartse, J., Heeger, K.M., Huyan, X., Johnston, J., Jones, A.M., Kazkaz, K., Laroque, B.H., Li, M., Lindman, A., MacHado, E., Marsteller, A., Matthé, C., Mohiuddin, R., Monreal, B., Mueller, R., Nikkel, J.A., Novitski, E., Oblath, N.S., Peña, J.I., Pettus, W., Reimann, R., Robertson, R.G.H., Rosa De Jesús, D., Rybka, G., Saldaña, L., Schram, M., Slocum, P.L., Stachurska, J., Sun, Y.-H., Surukuchi, P.T., Tedeschi, J.R., Telles, A.B., Thomas, F., Thomas, M., Thorne, L.A., Thümmler, T., Tvrznikova, L., Van De Pontseele, W., Vandevender, B.A., Weintroub, J., Weiss, T.E., Wendler, T., Young, A., Zayas, E., Ziegler, A. (2023). ”Tritium Beta Spectrum Measurement and Neutrino Mass Limit from Cyclotron Radiation Emission Spectroscopy”, Physical Review Letters, 131 (10), -. DOI: 10.1103/PhysRevLett.131.102502
Okemo, P.A., Njaci, I., Kim, Y.-M., McClure, R.S., Peterson, M.J., Beliaev, A.S., Hixson, K.K., Mundree, S., Williams, B. (2023). ”Tripogon loliiformis tolerates rapid desiccation after metabolic and transcriptional priming during initial drying”, Scientific Reports, 13 (1), -. DOI: 10.1038/s41598-023-47456-3
Sun, W., Li, A., Geng, T., Stuijk, S., Corporaal, H. (2023). ”Dissecting Tensor Cores via Microbenchmarks: Latency, Throughput and Numeric Behaviors”, IEEE Transactions on Parallel and Distributed Systems, 34 (1), 246-261. DOI: 10.1109/TPDS.2022.3217824
Wang, Y., Drgoňa, J., Zhang, J., Suryanarayana, K.S.N., Schram, M., Liu, F., Li, P. (2023). ”AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution”, Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37 (-), 10244-10252. DOI: 10.1609/aaai.v37i8.26220
Luo, Y., Tan, C., Agostini, N.B., Li, A., Tumeo, A., Dave, N., Geng, T. (2023). ”ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs”, Proceedings - Design Automation Conference, 2023- (-), -. DOI: 10.1109/DAC56929.2023.10247873
Guo, L., Lofstead, J., Ren, J., Laguna, I., Kestor, G., Pouchard, L., Oryspayev, D., Jeon, H. (2023). ”Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13999 (-), 221-233. DOI: 10.1007/978-3-031-40843-4_17
Thekdi, S., Tatar, U., Santos, J., Chatterjee, S. (2023). ”Disaster risk and artificial intelligence: A framework to characterize conceptual synergies and future opportunities”, Risk Analysis, 43 (8), 1641-1656. DOI: 10.1111/risa.14038
Eswaran, S.C.D., Olarte, M.V., Rallo, R., Marrlett, L., Harper, J., Anderson, M., Shapiro, E., Kozyra, P., Starks, A. (2023). ”HT Model: Using the Molecular Transformer for Predicting Hydrotreating Reactions”, Energy and Fuels, 37 (19), 14922-14935. DOI: 10.1021/acs.energyfuels.3c02224
Eschle, J., Gál, T., Giordano, M., Gras, P., Hegner, B., Heinrich, L., Hernandez Acosta, U., Kluth, S., Ling, J., Mato, P., Mikhasenko, M., Moreno Briceño, A., Pivarski, J., Samaras-Tsakiris, K., Schulz, O., Stewart, G.A., Strube, J., Vassilev, V. (2023). ”Potential of the Julia Programming Language for High Energy Physics Computing”, Computing and Software for Big Science, 7 (1), -. DOI: 10.1007/s41781-023-00104-x
Feng, R., Chen, Y., Zhang, X., Rousseau, B.J.G., Gao, P., Chen, P., Mergelsberg, S.T., Zhong, L., Hollas, A., Liang, Y., Murugesan, V., Huang, Q., Walter, E., Hammes-Schiffer, S., Shao, Y., Wang, W. (2023). ”Proton-regulated alcohol oxidation for high-capacity ketone-based flow battery anolyte”, Joule, 7 (7), 1609-1622. DOI: 10.1016/j.joule.2023.06.013
Burghardt, J., Bao, T., Tartakovsky, A., Xu, K., Darve, E. (2023). ”Autonomous Inversion of In Situ Deformation Measurement Data for Injection-Induced Stress Change”, 57th US Rock Mechanics/Geomechanics Symposium, - (-), -. DOI: 10.56952/ARMA-2023-0773
Frazier, W.E., Kalia, K., Wang, C., Choi, K.S., Field, D.P., Hu, S., Soulami, A., Joshi, V.V. (2023). ”An Integrated Simulation of Multiple-Pass U-10Mo Alloy Hot Rolling and Static Recrystallization”, Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 54 (9), 3461-3475. DOI: 10.1007/s11661-023-07077-x
Chen, Y., Stein, S., Li, A., Huang, Z.H. (2023). ”Is It Coming Soon to Power Systems: Quantum Computing and Its Early Exploration”, IEEE Power and Energy Society General Meeting, 2023- (-), -. DOI: 10.1109/PESGM52003.2023.10252721
Ang, J.A., Barker, K.J., Vrabie, D.L., Kestor, G. (2023). ”Codesign for Extreme Heterogeneity: Integrating Custom Hardware With Commodity Computing Technology to Support Next-Generation HPC Converged Workloads”, IEEE Internet Computing, 27 (1), 7-14. DOI: 10.1109/MIC.2022.3217423
Kulkarni, S.S., Shin, Y., Choi, K.S., Simmons, K. (2023). ”Investigation of desorption of hydrogen gas from polymer matrix using thermal desorption analysis and finite element modeling”, Polymer, 282 (-), -. DOI: 10.1016/j.polymer.2023.126182
Shee, A., Yeh, C.-N., Peng, B., Kowalski, K., Zgid, D. (2023). ”Triple Excitations in Green’s Function Coupled Cluster Solver for Studies of Strongly Correlated Systems in the Framework of Self-Energy Embedding Theory”, Journal of Physical Chemistry Letters, 14 (9), 2416-2424. DOI: 10.1021/acs.jpclett.2c03616
Cortez, W.S., Vasisht, S., Tuor, A., Koch, J., Drgona, J., Vrabie, D. (2023). ”Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles”, IFAC-PapersOnLine, 56 (1), 228-233. DOI: 10.1016/j.ifacol.2023.02.039
Castellana, V.G., Agostini, N.B., Limaye, A., Amatya, V., Minutoli, M., Manzano, J., Tumeo, A., Curzel, S., Fiorito, M., Ferrandi, F. (2023). ”Towards On-Chip Learning for Low Latency Reasoning with End-to-End Synthesis”, Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, - (-), 632-638. DOI: 10.1145/3566097.3568360
Nielson, F.F., Kay, B., Young, S.J., Colby, S.M., Renslow, R.S., Metz, T.O. (2023). ”Correction to: Similarity Downselection: Finding the n Most Dissimilar Molecular Conformers for Reference-Free Metabolomics (Metabolites, (2023), 13, 1, (105), 10.3390/metabo13010105)”, Metabolites, 13 (11), -. DOI: 10.3390/metabo13111158
Frazier, W.E., Li, L., Choi, K.S., Fu, Y., Xu, Z., Joshi, V.V., Soulami, A. (2023). ”Microstructure-process relationships in monolithic U-10Mo fuel foil single-pass rolling: A parametric simulation study”, Journal of Nuclear Materials, 576 (-), -. DOI: 10.1016/j.jnucmat.2023.154271
Guo, L., Kestor, G. (2023). ”On Higher-performance Sparse Tensor Transposition”, 2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023, - (-), 697-701. DOI: 10.1109/IPDPSW59300.2023.00118
Ashfaq, M., Johnson, N., Kucharski, F., Diffenbaugh, N.S., Abid, M.A., Horan, M.F., Singh, D., Mahajan, S., Ghosh, S., Ganguly, A.R., Evans, K.J., Islam, S. (2023). ”Author Correction: The influence of natural variability on extreme monsoons in Pakistan (npj Climate and Atmospheric Science, (2023), 6, 1, (148), 10.1038/s41612-023-00462-8)”, npj Climate and Atmospheric Science, 6 (1), -. DOI: 10.1038/s41612-023-00499-9
Finney, J.M., Choi, T.H., Huchmala, R.M., Heindel, J.P., Xantheas, S.S., Jordan, K.D., McCoy, A.B. (2023). ”Isotope Effects in the Zundel-Eigen Isomerization of H+(H2O)6”, Journal of Physical Chemistry Letters, 14 (20), 4666-4672. DOI: 10.1021/acs.jpclett.3c00952
Zhang, J.-L., Mantry, S., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Gayoso, C.A., Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Corrales Morales, Y., Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C.T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., El Fassi, L., Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P.-H.J., Huang, J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, W.B., Li, X., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Mkrtchyan, H., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Munoz Camacho, C., Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O'Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S.F., Patel, M., Paus, C., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., Periera da Costa, H., Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K.F., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Tapia Araya, S., Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., van Hecke, H.W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P.K., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zha, W., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., Zhuang, P. (2023). ”Search for e→τ charged lepton flavor violation at the EIC with the ECCE detector”, Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1053 (-), -. DOI: 10.1016/j.nima.2023.168276
Srivastava, A., Das, H., Tamayo, D.R., Li, L., Pole, M., Gwalani, B., Soulami, A., dos Santos, J.F., Kappagantula, K.S., Reza‑E‑Rabby, M. (2023). ”Correction to: Extent of interlocking and metallurgical bonding in friction riveting of aluminum alloy to steel (The International Journal of Advanced Manufacturing Technology, (2023), 128, 7-8, (2899-2911), 10.1007/s00170-023-12111-8)”, International Journal of Advanced Manufacturing Technology, 128 (7-8), -. DOI: 10.1007/s00170-023-12219-x
Soudbakhsh, D., Annaswamy, A.M., Wang, Y., Brunton, S.L., Gaudio, J., Hussain, H., Vrabie, D., Drgona, J., Filev, D. (2023). ”Data-Driven Control: Theory and Applications”, Proceedings of the American Control Conference, 2023- (-), 1922-1939. DOI: 10.23919/ACC55779.2023.10156081
Pathak, H., Panyala, A., Peng, B., Bauman, N.P., Mutlu, E., Rehr, J.J., Vila, F.D., Kowalski, K. (2023). ”Real-Time Equation-of-Motion Coupled-Cluster Cumulant Green’s Function Method: Heterogeneous Parallel Implementation Based on the Tensor Algebra for Many-Body Methods Infrastructure”, Journal of Chemical Theory and Computation, 19 (8), 2248-2257. DOI: 10.1021/acs.jctc.3c00045
Kautz, D.J., Cao, X., Gao, P., Matthews, B.E., Xu, Y., Han, K.S., Omenya, F., Engelhard, M.H., Jia, H., Wang, C., Zhang, J.-G., Xu, W. (2023). ”Designing Electrolytes With Controlled Solvation Structure for Fast-Charging Lithium-Ion Batteries”, Advanced Energy Materials, 13 (35), -. DOI: 10.1002/aenm.202301199
Fu, X., Tang, H., Liao, H., Huang, X., Xu, W., Meng, S., Zhang, W., Guo, L., Sato, K. (2023). ”A High-dimensional Algorithm-Based Fault Tolerance Scheme”, 2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023, - (-), 326-330. DOI: 10.1109/IPDPSW59300.2023.00061
Nasim, W., Kulkarni, S.S., Soulami, A., Efe, M., Rohatgi, A. (2023). ”Room Temperature Stamping of High-Strength Aluminum for Lightweight Structural Automotive Components”, Journal of Materials Engineering and Performance, - (-), -. DOI: 10.1007/s11665-023-08810-8
D'Ambra, P., Durastante, F., Ferdous, S.M., Filippone, S., Halappanavar, M., Pothen, A. (2023). ”AMG Preconditioners based on Parallel Hybrid Coarsening and Multi-objective Graph Matching”, Proceedings - 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2023, - (-), 59-67. DOI: 10.1109/PDP59025.2023.00017
Di Felice, R., Mayes, M.L., Richard, R.M., Williams-Young, D.B., Chan, G.K., de Jong, W.A., Govind, N., Head-Gordon, M., Hermes, M.R., Kowalski, K., Li, X., Lischka, H., Mueller, K.T., Mutlu, E., Niklasson, A.M.N., Pederson, M.R., Peng, B., Shepard, R., Valeev, E.F., van Schilfgaarde, M., Vlaisavljevich, B., Windus, T.L., Xantheas, S.S., Zhang, X., Zimmerman, P.M. (2023). ”A Perspective on Sustainable Computational Chemistry Software Development and Integration”, Journal of Chemical Theory and Computation, 19 (20), 7056-7076. DOI: 10.1021/acs.jctc.3c00419
Zeng, C., Kim, S., Chen, Y., Fu, Y., Bao, J., Xu, Z., Wang, W. (2023). ”In Situ Characterization of Kinetics, Mass Transfer, and Active Electrode Surface Area for Vanadium Redox Flow Batteries”, Journal of the Electrochemical Society, 170 (3), -. DOI: 10.1149/1945-7111/acbf7f
Nair, G.R., Suh, H.-S., Halappanavar, M., Liu, F., Seo, J.-S., Cao, Y. (2023). ”FPGA Acceleration of GCN in Light of the Symmetry of Graph Adjacency Matrix”, Proceedings -Design, Automation and Test in Europe, DATE, 2023- (-), -. DOI: 10.23919/DATE56975.2023.10137076
Escobar, J., Silverstein, J., Ishrak, F., Li, L., Soulami, A., Li, S., Yu, A., Mathaudhu, S., Ortiz, A., Koch, C., Devaraj, A., Efe, M., Gwalani, B. (2023). ”Microstructural evolution in shear-punch tests: A comparative study of pure Cu and Cu-Cr alloy”, Materials Science and Engineering: A, 886 (-), -. DOI: 10.1016/j.msea.2023.145715
Unsleber, J.P., Liu, H., Talirz, L., Weymuth, T., Mörchen, M., Grofe, A., Wecker, D., Stein, C.J., Panyala, A., Peng, B., Kowalski, K., Troyer, M., Reiher, M. (2023). ”High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation”, Journal of Chemical Physics, 158 (8), -. DOI: 10.1063/5.0136526
Reiman, A.P., Poudel, S., Mukherjee, M., Anderson, A.A., Vasios, O., Slay, T.E., Black, G.D., Dubey, A., Ogle, J.P. (2023). ”App Deconfliction: Orchestrating Distributed, Multi-Agent, Multi-Objective Operations for Power Systems”, IEEE Access, 11 (-), 40314-40327. DOI: 10.1109/ACCESS.2023.3269422
Seidl, R., Vladimirov, A., Pitonyak, D., Prokudin, A., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Gayoso, C.A., Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y.C., Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C.T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., El Fassi, L., Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P.-H.J., Huang, J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, W.B., Li, X., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C.M., Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O'Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S.F., Patel, M., Paus, C., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., da Costa, H.P., Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K.F., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Araya, S.T., Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., van Hecke, H.W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P.K., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zha, W., Zhang, J.-L., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., Zhuang, P. (2023). ”ECCE sensitivity studies for single hadron transverse single spin asymmetry measurements”, Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1049 (-), -. DOI: 10.1016/j.nima.2023.168017
Chen, J.-A., Sung, H.-H., Shen, X., Choudhury, S., Li, A. (2023). ”BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs”, Proceedings of the International Conference on Supercomputing, - (-), 264-276. DOI: 10.1145/3577193.3593725
He, Q., Perego, M., Howard, A.A., Karniadakis, G.E., Stinis, P. (2023). ”A hybrid deep neural operator/finite element method for ice-sheet modeling”, Journal of Computational Physics, 492 (-), -. DOI: 10.1016/j.jcp.2023.112428
Chatterjee, S., Bhattacharya, A., Dutta, A., Rahman, A., Ramachandran, T., Chikkagoudar, S., Bharadwaj, R. (2023). ”Collaboration and Negotiation”, Advances in Information Security, 87 (-), 229-251. DOI: 10.1007/978-3-031-29269-9_11
Bauman, N.P., Peng, B., Kowalski, K. (2023). ”Coupled-cluster downfolding techniques: A review of existing applications in classical and quantum computing for chemical systems”, Advances in Quantum Chemistry, 87 (-), 141-166. DOI: 10.1016/bs.aiq.2023.03.006
Bock, F., Schmidt, N., Wang, P.K., Santiesteban, N., Horn, T., Huang, J., Lajoie, J., Munoz Camacho, C., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Ayerbe Gayoso, C., Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Corrales Morales, Y., Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C.T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., El Fassi, L., Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Hoghmrtsyan, A., Hsu, P.-H.J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, W.B., Li, X., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O'Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S.F., Patel, M., Paus, C., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., Periera da Costa, H., Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K.F., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Tapia Araya, S., Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., van Hecke, H.W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zha, W., Zhang, J.-L., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., Zhuang, P. (2023). ”Design and simulated performance of calorimetry systems for the ECCE detector at the electron ion collider”, Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1055 (-), -. DOI: 10.1016/j.nima.2023.168464
Jiang, W., Kovarik, L., Kruska, K., Fu, Y., Hu, Z., Shao, L., Setyawan, W. (2023). ”Behavior and properties of helium cavities in ductile-phase-toughened tungsten irradiated with He+ ions at an elevated temperature”, Materialia, 29 (-), -. DOI: 10.1016/j.mtla.2023.101789
Sarkar, D., Lee, H., Vant, J.W., Turilli, M., Vermaas, J.V., Jha, S., Singharoy, A. (2023). ”Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting”, Journal of Chemical Information and Modeling, 63 (18), 5834-5846. DOI: 10.1021/acs.jcim.3c00350
Subasi, O., Manzano, J., Barker, K. (2023). ”Denial of Service Attack Detection via Differential Analysis of Generalized Entropy Progressions”, Proceedings of the 2023 IEEE International Conference on Cyber Security and Resilience, CSR 2023, - (-), 219-226. DOI: 10.1109/CSR57506.2023.10224957
Mato, J., Willow, S.Y., Werhahn, J.C., Xantheas, S.S. (2023). ”The Back Door to the Surface Hydrated Electron”, Journal of Physical Chemistry Letters, 14 (36), 8221-8226. DOI: 10.1021/acs.jpclett.3c01479
Bernauer, J.C., Dean, C.T., Fanelli, C., Huang, J., Kauder, K., Lawrence, D., Osborn, J.D., Paus, C., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Ayerbe Gayoso, C., Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Corrales Morales, Y., Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., El Fassi, L., Emmert, A., Ent, R., Fatemi, R., Fegan, S., Finger, M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P.-H.J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lajoie, J., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, X., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Marchand, D., Marcisovsky, M., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Munoz Camacho, C., Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., O'Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S.F., Patel, M., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., Periera da Costa, H., Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Tapia Araya, S., Tarafdar, S., Teodorescu, L., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., van Hecke, H.W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P.K., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zhang, J., Zhang, Y., Zhao, Y.X., Zheng, X., Zhuang, P. (2023). ”Scientific computing plan for the ECCE detector at the Electron Ion Collider”, Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1047 (-), -. DOI: 10.1016/j.nima.2022.167859
Khatami, M.H., Mendes, U.C., Wiebe, N., Kim, P.M. (2023). ”Gate-based quantum computing for protein design”, PLoS Computational Biology, 19 (4), -. DOI: 10.1371/journal.pcbi.1011033
Li, X., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Ayerbe Gayoso, C., Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Corrales Morales, Y., Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C.T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., El Fassi, L., Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P.-H.J., Huang, J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, W.B., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Munoz Camacho, C., Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O'Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S.F., Patel, M., Paus, C., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., Periera da Costa, H., Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K.F., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Tapia Araya, S., Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., van Hecke, H.W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P.K., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zha, W., Zhang, J.-L., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., Zhuang, P. (2023). ”Exclusive J/ψ detection and physics with ECCE”, Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1048 (-), -. DOI: 10.1016/j.nima.2022.167956
Nettasinghe, B., Chatterjee, S., Tipireddy, R., Halappanavar, M. (2023). ”Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains”, Proceedings of Machine Learning Research, 202 (-), 25890-25903. https://proceedings.mlr.press/v202/nettasinghe23a.html
Swirydowicz, K., Koukpaizan, N., Abhyankar, S., Peles, S. (2023). ”Towards Efficient Alternating Current Optimal Power Flow Analysis on Graphical Processing Units”, 2023 29th International Conference on Information, Communication and Automation Technologies, ICAT 2023 - Proceedings, - (-), -. DOI: 10.1109/ICAT57854.2023.10171317
Luzi, L., Marrero, C.O., Wynar, N., Baraniuk, R.G., Henry, M.J. (2023). ”Evaluating generative networks using Gaussian mixtures of image features”, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023, - (-), 279-288. DOI: 10.1109/WACV56688.2023.00036
Kulkarni, S.S., Hale, F., Taufique, M.F.N., Soulami, A., Devanathan, R. (2023). ”Investigation of Crashworthiness of Carbon Fiber-Based Electric Vehicle Battery Enclosure Using Finite Element Analysis”, Applied Composite Materials, 30 (6), 1689-1715. DOI: 10.1007/s10443-023-10146-4
Wang, D., Bao, J., Zamarripa-Perez, M.A., Paul, B., Chen, Y., Gao, P., Ma, T., Noring, A.A., Iyengar, A.K.S., Schwartz, D.T., Eggleton, E.E., He, Q., Liu, A., Marina, O.A., Koeppel, B., Xu, Z. (2023). ”A coupled reinforcement learning and IDAES process modeling framework for automated conceptual design of energy and chemical systems”, Energy Advances, 2 (10), 1735-1751. DOI: 10.1039/d3ya00310h
Herman, K.M., Xantheas, S.S. (2023). ”A Formulation of the Many-Body Expansion (MBE) for Periodic Systems: Application to Several Ice Phases”, Journal of Physical Chemistry Letters, 14 (4), 989-999. https://10.1021/acs.jpclett.2c03822
Zheng, M., Li, A., Terlaky, T., Yang, X. (2023). ”A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors”, ACM Transactions on Quantum Computing, 4 (2), -. DOI: 10.1145/3563397
Yang, Y., Xie, C., Liu, L., Leong, P.H.W., Song, S.L. (2023). ”Efficient Radius Search for Adaptive Foveal Sizing Mechanism in Collaborative Foveated Rendering Framework”, IEEE Transactions on Mobile Computing, - (-), 1-13. DOI: 10.1109/TMC.2023.3277577
Rajput, A., Roggero, A., Wiebe, N. (2023). ”Quantum error correction with gauge symmetries”, npj Quantum Information, 9 (1), -. DOI: 10.1038/s41534-023-00706-8
Khan, M.A., Tipireddy, R., Dattaguru, B., Kumar, S. (2023). ”Stochastic modeling of functionally graded double lap adhesive joints”, Mechanics of Materials, 177 (-), -. DOI: 10.1016/j.mechmat.2022.104553
Zhao, X., Luo, Y., Liu, J., Liu, W., Rosso, K.M., Guo, X., Geng, T., Li, A., Zhang, X. (2023). ”Machine Learning Automated Analysis of Enormous Synchrotron X-ray Diffraction Datasets”, Journal of Physical Chemistry C, 127 (30), 14830-14838. DOI: 10.1021/acs.jpcc.3c03572
Guan, Q., Fang, B. (2023). ”Welcome Notes of QCCC 2023”, QCCC 2023 - Proceedings of the 2023 International Workshop on Quantum Classical Cooperative Computing, - (-), -. https://-
Baheri, B., Chaudhary, V., Li, A., Xu, S., Fang, B., Guan, Q. (2023). ”Quantum Noise Mitigation: Introducing the Robust Quantum Circuit Scheduler for Enhanced Fidelity and Throughput”, QCCC 2023 - Proceedings of the 2023 International Workshop on Quantum Classical Cooperative Computing, - (-), 21-24. DOI: 10.1145/3588983.3596688
Ye, Y., Faulkner, C.A., Xu, R., Huang, S., Liu, Y., Vrabie, D.L., Zhang, J., Zuo, W. (2023). ”System modeling for grid-interactive efficient building applications”, Journal of Building Engineering, 69 (-), -. DOI: 10.1016/j.jobe.2023.106148
Fu, Y., Bao, J., Zeng, C., Chen, Y., Xu, Z., Kim, S., Wang, W. (2023). ”A three-dimensional pore-scale model for redox flow battery electrode design analysis”, Journal of Power Sources, 556 (-), -. DOI: 10.1016/j.jpowsour.2022.232329
Cortez, W.S., Verginis, C.K., Dimarogonas, D.V. (2023). ”A Distributed, Event-Triggered, Adaptive Controller for Cooperative Manipulation with Rolling Contacts”, IEEE Transactions on Robotics, 39 (4), 3120-3133. DOI: 10.1109/TRO.2023.3268595
Jia, H., Kim, J.-M., Gao, P., Xu, Y., Engelhard, M.H., Matthews, B.E., Wang, C., Xu, W. (2023). ”A Systematic Study on the Effects of Solvating Solvents and Additives in Localized High-Concentration Electrolytes over Electrochemical Performance of Lithium-Ion Batteries”, Angewandte Chemie - International Edition, 62 (17), -. DOI: 10.1002/anie.202218005
Milligan, B.K., Li, L., Komarasamy, M., Roosendaal, T., Soulami, A., Whalen, S. (2023). ”Cladding and Butt-Joining Dissimilar Aluminum Alloys Simultaneously via Shear Assisted Processing and Extrusion”, JOM, 75 (8), 3033-3040. DOI: 10.1007/s11837-023-05855-x
Srivastava, A., Das, H., Tamayo, D.R., Li, L., Pole, M., Gwalani, B., Soulami, A., dos Santos, J.F., Kappagantula, K.S., Reza-E-Rabby, M. (2023). ”Extent of interlocking and metallurgical bonding in friction riveting of aluminum alloy to steel”, International Journal of Advanced Manufacturing Technology, 128 (7-8), 2899-2911. DOI: 10.1007/s00170-023-12111-8
Li, X., Laguna, I., Fang, B., Swirydowicz, K., Li, A., Gopalakrishnan, G. (2023). ”Design and Evaluation of GPU-FPX: A Low-Overhead tool for Floating-Point Exception Detection in NVIDIA GPUs”, HPDC 2023 - Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, - (-), 59-71. DOI: 10.1145/3588195.3592991
Ahmed, S.E., Stinis, P. (2023). ”A multifidelity deep operator network approach to closure for multiscale systems”, Computer Methods in Applied Mechanics and Engineering, 414 (-), -. DOI: 10.1016/j.cma.2023.116161
Van Hulse, C., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Gayoso, C.A., Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y.C., Cotton, C., Crafts, J., Crawford, C., Creekmore, S., C.Cuevas, Cunningham, J., David, G., Dean, C.T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., Fassi, L.E., Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P.-H.J., Huang, J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, W.B., Li, X., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Mkrtchyan, H., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Camacho, C.M., Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O'Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S.F., Patel, M., Paus, C., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., Costa, H.P.D., Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Read, K.F., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Araya, S.T., Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., Hecke, H.W.V., Velkovska, J., Voutier, E., Wang, P.K., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zha, W., Zhang, J.-L., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., Zhuang, P. (2023). ”Evaluation of longitudinal double-spin asymmetry measurements in semi-inclusive deep-inelastic scattering from the proton for the ECCE detector design”, Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1056 (-), -. DOI: 10.1016/j.nima.2023.168563
Koziol, A., Yano, K., Schemer-Kohrn, A., Soulami, A., Joshi, V.V., Briggs, S.A., Kautz, E.J. (2023). ”Microstructure and microchemistry changes at U-10Mo fuel/AA6061 cladding interfaces with varying hot isostatic pressing conditions”, Journal of Nuclear Materials, 585 (-), -. DOI: 10.1016/j.jnucmat.2023.154597
Oster, M.R., King, E., Bakker, C., Bhattacharya, A., Chatterjee, S., Pan, F. (2023). ”Multi-level optimization with the koopman operator for data-driven, domain-aware, and dynamic system security”, Reliability Engineering and System Safety, 237 (-), -. DOI: 10.1016/j.ress.2023.109323
Myers, A., Joslyn, C., Kay, B., Purvine, E., Roek, G., Shapiro, M. (2023). ”Topological Analysis of Temporal Hypergraphs”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13894 (-), 127-146. DOI: 10.1007/978-3-031-32296-9_9
Machovec, D., Siegel, H.J., Crowder, J.A., Pasricha, S., Maciejewski, A.A., Friese, R.D. (2023). ”Surveillance mission scheduling with unmanned aerial vehicles in dynamic heterogeneous environments”, Journal of Supercomputing, 79 (12), 13864-13888. DOI: 10.1007/s11227-023-05225-z
Foster, B., Taneja, S., Manzano, J., Barker, K. (2023). ”Evaluating Energy Efficiency of GPUs using Machine Learning Benchmarks”, 2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023, - (-), 42-50. DOI: 10.1109/IPDPSW59300.2023.00019
Bakker, C., Vasisht, S., Huang, S., Vrabie, D.L. (2023). ”Sensor and Actuator Attacks on Hierarchical Control Systems with Domain-Aware Operator Theory∗”, 2023 Resilience Week, RWS 2023, - (-), -. DOI: 10.1109/RWS58133.2023.10284668
Abrahamsen, N., Tong, Y., Bao, N., Su, Y., Wiebe, N. (2023). ”Entanglement area law for one-dimensional gauge theories and bosonic systems”, Physical Review A, 108 (4), -. DOI: 10.1103/PhysRevA.108.042422
Dong, W., Kestor, G., Li, D. (2023). ”Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications”, HPDC 2023 - Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, - (-), 31-44. DOI: 10.1145/3588195.3592985
Li, S., Drgona, J., Abhyankar, S., Pileggi, L. (2023). ”Power Grid Behavioral Patterns and Risks of Generalization in Applied Machine Learning”, e-Energy 2023 Companion - Proceedings of the 14th ACM International Conference on Future Energy Systems, - (-), 106-114. DOI: 10.1145/3599733.3600257
Cao, W., Wen, H., Xantheas, S.S., Wang, X.-B. (2023). ”The primary gas phase hydration shell of hydroxide”, Science Advances, 9 (12), -. DOI: 10.1126/sciadv.adf4309
Feng, D., Tan, Z., He, Q. (2023). ”Physics-Informed Neural Networks of the Saint-Venant Equations for Downscaling a Large-Scale River Model”, Water Resources Research, 59 (2), -. DOI: 10.1029/2022WR033168
Heindel, J.P., Herman, K.M., Xantheas, S.S. (2023). ”Many-Body Effects in Aqueous Systems: Synergies Between Interaction Analysis Techniques and Force Field Development”, Annual Review of Physical Chemistry, 74 (-), 337-360. DOI: 10.1146/annurev-physchem-062422-023532
Kulkarni, S.S., Venkatraman, A., Senor, D.J., Devanathan, R. (2023). ”A sensitivity analysis of twinning crystal plasticity finite element model using single crystal and poly crystal Zircaloy”, Computational Materials Science, 230 (-), -. DOI: 10.1016/j.commatsci.2023.112425
Kautz, E.J., Song, M., Riechers, S., Koziol, A., Briggs, S.A., Yano, K., Prabhakaran, R., Schemer-Kohrn, A., Soulami, A., Joshi, V.V., Devaraj, A. (2023). ”Influence of processing on secondary phase formation and microstructural evolution at U-10Mo alloy and Zr interlayer interfaces”, Journal of Alloys and Compounds, 969 (-), -. DOI: 10.1016/j.jallcom.2023.172074
Guo, A., Hao, Y., Wu, C., Haghi, P., Pan, Z., Si, M., Tao, D., Li, A., Herbordt, M., Geng, T. (2023). ”Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training”, Proceedings of the International Conference on Supercomputing, - (-), 336-347. DOI: 10.1145/3577193.3593724
Jia, H., Yang, Z., Xu, Y., Gao, P., Zhong, L., Kautz, D.J., Wu, D., Fliegler, B., Engelhard, M.H., Matthews, B.E., Broekhuis, B., Cao, X., Fan, J., Wang, C., Lin, F., Xu, W. (2023). ”Is Nonflammability of Electrolyte Overrated in the Overall Safety Performance of Lithium Ion Batteries? A Sobering Revelation from a Completely Nonflammable Electrolyte”, Advanced Energy Materials, 13 (4), -. DOI: 10.1002/aenm.202203144
Balusu, K., Das, H., Li, X., Roosendaal, T., Seffens, R., Soulami, A., Upadhyay, P. (2023). ”The Role of Fracture Properties on Lap Joint Strength of Friction Stir Welded AA7055-T6 Sheets”, Minerals, Metals and Materials Series, - (-), 193-205. DOI: 10.1007/978-3-031-22661-8_18
Chen, Y., Bao, J., Xu, Z., Gao, P., Yan, L., Kim, S., Wang, W. (2023). ”A hybrid analytical and numerical model for cross-over and performance decay in a unit cell vanadium redox flow battery”, Journal of Power Sources, 578 (-), -. https://www.doi.org/10.1016/j.jpowsour.2023.233210
Abhyankar, S., Drgoňa, J., Tuor, A., August, A. (2023). ”Neuro-physical dynamic load modeling using differentiable parametric optimization”, IEEE Power and Energy Society General Meeting, 2023- (-), -. DOI: 10.1109/PESGM52003.2023.10253098
Faulkner, C.A., Lutes, R., Huang, S., Zuo, W., Vrabie, D. (2023). ”Simulation-based assessment of ASHRAE Guideline 36, considering energy performance, indoor air quality, and control stability”, Building and Environment, 240 (-), -. DOI: 10.1016/j.buildenv.2023.110371
Zhang, B., Fang, B., Guan, Q., Li, A., Tao, D. (2023). ”HQ-Sim: High-performance State Vector Simulation of Quantum Circuits on Heterogeneous HPC Systems”, QCCC 2023 - Proceedings of the 2023 International Workshop on Quantum Classical Cooperative Computing, - (-), 1-4. DOI: 10.1145/3588983.3596679
Mehendale, S.G., Peng, B., Govind, N., Alexeev, Y. (2023). ”Exploring Parameter Redundancy in the Unitary Coupled-Cluster Ansätze for Hybrid Variational Quantum Computing”, Journal of Physical Chemistry A, 127 (20), 4526-4537. DOI: 10.1021/acs.jpca.3c00550
Du, Y., Chatterjee, S., Bhattacharya, A., Dutta, A., Halappanavar, M. (2023). ”Role of reinforcement learning for risk-based robust control of cyber-physical energy systems”, Risk Analysis, 43 (11), 2280-2297. DOI: 10.1111/risa.14104
Liu, Y., Duffy, K., Dy, J.G., Ganguly, A.R. (2023). ”Explainable deep learning for insights in El Niño and river flows”, Nature Communications, 14 (1), -. DOI: 10.1038/s41467-023-35968-5
Seidl, R., Vladimirov, A., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Gayoso, C.A., Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y.C., Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C.T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., Fassi, L.E., Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Fegan, S., Finger, M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P.-H.J., Huang, J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, W.B., Li, X., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C.M., Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O'Shaughnessy, C., Paganis, S., Papandreou, Z., Pate, S.F., Patel, M., Paus, C., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., da Costa, H.P., Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K.F., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Araya, S.T., Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., van Hecke, H.W., Hulse, C.V., Velkovska, J., Voutier, E., Wang, P.K., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zha, W., Zhang, J.-L., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., Zhuang, P. (2023). ”ECCE unpolarized TMD measurements”, Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1055 (-), -. DOI: 10.1016/j.nima.2023.168458
Kulkarni, S.S., Choi, K.S., Menon, N., Simmons, K. (2023). ”A diffusion–deformation model with damage for polymer undergoing rapid decompression failure”, Journal of the Mechanics and Physics of Solids, 178 (-), -. DOI: 10.1016/j.jmps.2023.105348
Fanelli, C., Papandreou, Z., Suresh, K., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Gayoso, C.A., Bae, J., Bai, X., Baker, M.D., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Bylinkin, A., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Morales, Y.C., Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Dean, C.T., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., El Fassi, L., Emmert, A., Ent, R., Fatemi, R., Fegan, S., Finger, M., Frantz, J., Friedman, M., Friscic, I., Gangadharan, D., Gardner, S., Gates, K., Geurts, F., Gilman, R., Glazier, D., Glimos, E., Goto, Y., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Higinbotham, D.W., Hoballah, M., Horn, T., Hoghmrtsyan, A., Hsu, P.-H.J., Huang, J., Huber, G., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kay, S.J.D., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korover, I., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Li, W.B., Li, X., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Montgomery, R., Morrison, D., Movsisyan, A., Mkrtchyan, H., Camacho, C.M., Murray, M., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Nguyen, D., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O'Shaughnessy, C., Paganis, S., Pate, S.F., Patel, M., Paus, C., Penman, G., Perdekamp, M.G., Perepelitsa, D.V., da Costa, H.P., Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Pybus, J.R., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K.F., Røed, K., Reed, R., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roche, J., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santiesteban, N., Santos, R., Sarsour, M., Schambach, J., Schmidt, A., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shimizu, S., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Steinberg, P., Stepanov, P., Stevens, J., Strube, J., Sun, P., Sun, X., Tadevosyan, V., Tang, W.-C., Araya, S.T., Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Trotta, R., Tveter, T.S., Umaka, E., Usman, A., van Hecke, H.W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P.K., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zha, W., Zhang, J.-L., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., Zhuang, P. (2023). ”AI-assisted optimization of the ECCE tracking system at the Electron Ion Collider”, Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1047 (-), -. DOI: 10.1016/j.nima.2022.167748
Ward, L., Pauloski, J.G., Hayot-Sasson, V., Chard, R., Babuji, Y., Sivaraman, G., Choudhury, S., Chard, K., Thakur, R., Foster, I. (2023). ”Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources”, 2023 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2023, - (-), 32-41. DOI: 10.1109/IPDPSW59300.2023.00018
Suri, N., Barreto, J., Hadfield, S., Wiebe, N., Wudarski, F., Marshall, J. (2023). ”Two-Unitary Decomposition Algorithm and Open Quantum System Simulation”, Quantum, 7 (-), -. DOI: 10.22331/Q-2023-05-15-1002
Nghiem, T.X., Drgoňa, J., Jones, C., Nagy, Z., Schwan, R., Dey, B., Chakrabarty, A., Di Cairano, S., Paulson, J.A., Carron, A., Zeilinger, M.N., Shaw Cortez, W., Vrabie, D.L. (2023). ”Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems”, Proceedings of the American Control Conference, 2023- (-), 3735-3750. DOI: 10.23919/ACC55779.2023.10155901
Claudino, D., Peng, B., Kowalski, K., Humble, T.S. (2023). ”Modeling Singlet Fission on a Quantum Computer”, Journal of Physical Chemistry Letters, 14 (24), 5511-5516. DOI: 10.1021/acs.jpclett.3c01106
Vernieri, C., Nanni, E.A., Dasu, S., Peskin, M.E., Barklow, T., Bartoldus, R., Bhat, P.C., Black, K., Brau, J.E., Breidenbach, M., Bullard, B., Craig, N., Denisov, D., Gray, L., Harris, P.C., Kagan, M., Liu, Z., Meade, P., Majernik, N., Mohammadi, A., Nagaitsev, S., Ntounis, D., Ojalvo, I., Pachal, K., Paus, C., Rosenzweig, J., Schroeder, C., Schwartzman, A.G., Simakov, E., Swiatlowski, M., Spataro, B., Strube, J., Dong, S., Tantawi, S., Wang, L.-T., White, A., Wilson, G.W. (2023). ”A “Cool” route to the Higgs boson and beyond. The Cool Copper Collider”, Journal of Instrumentation, 18 (7), -. DOI: 10.1088/1748-0221/18/07/P07053
Chen, W., Fu, Y., Stinis, P. (2023). ”Physics-informed machine learning of redox flow battery based on a two-dimensional unit cell model”, Journal of Power Sources, 584 (-), -. DOI: 10.1016/j.jpowsour.2023.233548
Dutta, A., Al-Shaer, E., Chatterjee, S., Duan, Q. (2023). ”Autonomous Cyber Defense Against Dynamic Multi-strategy Infrastructural DDoS Attacks”, 2023 IEEE Conference on Communications and Network Security, CNS 2023, - (-), -. DOI: 10.1109/CNS59707.2023.10288937
Dutta, S.B., Abu-Ghazaleh, N., Naghibijouybari, H., Marquez, A., Gupta, A., Barker, K. (2023). ”Spy in the GPU-box: Covert and Side Channel Attacks on Multi-GPU System”, Proceedings - International Symposium on Computer Architecture, - (-), 633-645. DOI: 10.1145/3579371.3589080
Nagy, Z., Henze, G., Dey, S., Arroyo, J., Helsen, L., Zhang, X., Chen, B., Amasyali, K., Kurte, K., Zamzam, A., Zandi, H., Drgoňa, J., Quintana, M., McCullogh, S., Park, J.Y., Li, H., Hong, T., Brandi, S., Pinto, G., Capozzoli, A., Vrabie, D., Bergés, M., Nweye, K., Marzullo, T., Bernstein, A. (2023). ”Ten questions concerning reinforcement learning for building energy management”, Building and Environment, 241 (-), -. DOI: 10.1016/j.buildenv.2023.110435
Hirata, S., Shigeta, Y., Xantheas, S.S., Bartlett, R.J. (2023). ”Helical Organic and Inorganic Polymers”, Journal of Physical Chemistry B, 127 (15), 3556-3583. DOI: 10.1021/acs.jpcb.3c00620
Bylinkin, A., Dean, C.T., Fegan, S., Gangadharan, D., Gates, K., Kay, S.J.D., Korover, I., Li, W.B., Li, X., Montgomery, R., Nguyen, D., Penman, G., Pybus, J.R., Santiesteban, N., Shimizu, S., Trotta, R., Usman, A., Baker, M.D., Frantz, J., Glazier, D.I., Higinbotham, D.W., Horn, T., Huang, J., Huber, G.M., Reed, R., Roche, J., Schmidt, A., Steinberg, P., Stevens, J., Goto, Y., Munoz Camacho, C., Murray, M., Papandreou, Z., Zha, W., Adkins, J.K., Akiba, Y., Albataineh, A., Amaryan, M., Arsene, I.C., Ayerbe Gayoso, C., Bae, J., Bai, X., Bashkanov, M., Bellwied, R., Benmokhtar, F., Berdnikov, V., Bernauer, J.C., Bock, F., Boeglin, W., Borysova, M., Brash, E., Brindza, P., Briscoe, W.J., Brooks, M., Bueltmann, S., Bukhari, M.H.S., Capobianco, R., Chang, W.-C., Cheon, Y., Chen, K., Chen, K.-F., Cheng, K.-Y., Chiu, M., Chujo, T., Citron, Z., Cline, E., Cohen, E., Cormier, T., Corrales Morales, Y., Cotton, C., Crafts, J., Crawford, C., Creekmore, S., Cuevas, C., Cunningham, J., David, G., Demarteau, M., Diehl, S., Doshita, N., Dupré, R., Durham, J.M., Dzhygadlo, R., Ehlers, R., El Fassi, L., Emmert, A., Ent, R., Fanelli, C., Fatemi, R., Finger, M., Friedman, M., Friscic, I., Gardner, S., Geurts, F., Gilman, R., Glimos, E., Grau, N., Greene, S.V., Guo, A.Q., Guo, L., Ha, S.K., Haggerty, J., Hayward, T., He, X., Hen, O., Hoballah, M., Hoghmrtsyan, A., Hsu, P.-H.J., Hutson, A., Hwang, K.Y., Hyde, C.E., Inaba, M., Iwata, T., Jo, H.S., Joo, K., Kalantarians, N., Kalicy, G., Kawade, K., Kim, A., Kim, B., Kim, C., Kim, M., Kim, Y., Kistenev, E., Klimenko, V., Ko, S.H., Korsch, W., Krintiras, G., Kuhn, S., Kuo, C.-M., Kutz, T., Lajoie, J., Lawrence, D., Lebedev, S., Lee, H., Lee, J.S.H., Lee, S.W., Lee, Y.-J., Li, W., Liang, Y.T., Lim, S., Lin, C.-H., Lin, D.X., Liu, K., Liu, M.X., Livingston, K., Liyanage, N., Llope, W.J., Loizides, C., Long, E., Lu, R.-S., Lu, Z., Lynch, W., Mantry, S., Marchand, D., Marcisovsky, M., Markert, C., Markowitz, P., Marukyan, H., McGaughey, P., Mihovilovic, M., Milner, R.G., Milov, A., Miyachi, Y., Mkrtchyan, A., Monaghan, P., Morrison, D., Movsisyan, A., Mkrtchyan, H., Nagai, K., Nagle, J., Nakagawa, I., Nattrass, C., Niccolai, S., Nouicer, R., Nukazuka, G., Nycz, M., Okorokov, V.A., Orešić, S., Osborn, J.D., O'Shaughnessy, C., Paganis, S., Pate, S.F., Patel, M., Paus, C., Perdekamp, M.G., Perepelitsa, D.V., Periera da Costa, H., Peters, K., Phelps, W., Piasetzky, E., Pinkenburg, C., Prochazka, I., Protzman, T., Purschke, M.L., Putschke, J., Rajput-Ghoshal, R., Rasson, J., Raue, B., Read, K.F., Røed, K., Reinhold, J., Renner, E.L., Richards, J., Riedl, C., Rinn, T., Roland, G.M., Ron, G., Rosati, M., Royon, C., Ryu, J., Salur, S., Santos, R., Sarsour, M., Schambach, J., Schmidt, N., Schwarz, C., Schwiening, J., Seidl, R., Sickles, A., Simmerling, P., Sirca, S., Sharma, D., Shi, Z., Shibata, T.-A., Shih, C.-W., Shrestha, U., Slifer, K., Smith, K., Sokhan, D., Soltz, R., Sondheim, W., Song, J., Strakovsky, I.I., Stepanov, P., Strube, J., Sun, P., Sun, X., Suresh, K., Tadevosyan, V., Tang, W.-C., Tapia Araya, S., Tarafdar, S., Teodorescu, L., Thomas, D., Timmins, A., Tomasek, L., Trotta, N., Tveter, T.S., Umaka, E., van Hecke, H.W., Van Hulse, C., Velkovska, J., Voutier, E., Wang, P.K., Wang, Q., Wang, Y., Watts, D.P., Wickramaarachchi, N., Weinstein, L., Williams, M., Wong, C.-P., Wood, L., Wood, M.H., Woody, C., Wyslouch, B., Xiao, Z., Yamazaki, Y., Yang, Y., Ye, Z., Yoo, H.D., Yurov, M., Zachariou, N., Zajc, W.A., Zhang, J.-L., Zhang, J.-X., Zhang, Y., Zhao, Y.-X., Zheng, X., Zhuang, P. (2023). ”Detector requirements and simulation results for the EIC exclusive, diffractive and tagging physics program using the ECCE detector concept”, Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1052 (-), -. DOI: 10.1016/j.nima.2023.168238
Mejia-Rodriguez, D., Aprà, E., Autschbach, J., Bauman, N.P., Bylaska, E.J., Govind, N., Hammond, J.R., Kowalski, K., Kunitsa, A., Panyala, A., Peng, B., Rehr, J.J., Song, H., Tretiak, S., Valiev, M., Vila, F.D. (2023). ”NWChem: Recent and Ongoing Developments”, Journal of Chemical Theory and Computation, 19 (20), 7077-7096. DOI: 10.1021/acs.jctc.3c00421
Wang, M., Fang, B., Li, A., Nair, P. (2023). ”Efficient QAOA Optimization using Directed Restarts and Graph Lookup”, QCCC 2023 - Proceedings of the 2023 International Workshop on Quantum Classical Cooperative Computing, - (-), 5-8. DOI: 10.1145/3588983.3596680
Das, H., Li, X., Li, L., Schuessler, B.J., Overman, N., Darsell, J.T., Upadhyay, P., Soulami, A., Herling, D.R., Joshi, V.V., Efe, M. (2023). ”An innovative and alternative approach toward gear fabrication”, Journal of Manufacturing Processes, 102 (-), 319-329. DOI: 10.1016/j.jmapro.2023.07.050
Nielson, F.F., Kay, B., Young, S.J., Colby, S.M., Renslow, R.S., Metz, T.O. (2023). ”Similarity Downselection: Finding the n Most Dissimilar Molecular Conformers for Reference-Free Metabolomics”, Metabolites, 13 (1), -. DOI: 10.3390/metabo13010105
Chatterjee, S., Thomas, D., Fortin, D., Pazdernik, K., Wilson, B., Newburn, L. (2023). ”Dynamic Network Analysis of Nuclear Science Literature for Research Influence Assessment”, ESARDA Bulletin, 65 (-), 19-33. DOI: 10.3011/ESARDA.IJNSNP.2023.3
Dunning, T.H., Gordon, M.S., Xantheas, S.S. (2023). ”The nature of the chemical bond”, Journal of Chemical Physics, 158 (13), -. DOI: 10.1063/5.0148500
Depastas, T., Souliotis, G.A., Tzeli, D., Xantheas, S.S. (2023). ”Many-body expansion for light nuclear systems”, Physical Review C, 107 (4), -. DOI: 10.1103/PhysRevC.107.044004
Kelsey, M.H., Agnese, R., Alam, Y.F., Langroudy, I.A., Azadbakht, E., Brandt, D., Bunker, R., Cabrera, B., Chang, Y.-Y., Coombes, H., Cormier, R.M., Diamond, M.D., Edwards, E.R., Figueroa-Feliciano, E., Gao, J., Harrington, P.M., Hong, Z., Hui, M., Kurinsky, N.A., Lawrence, R.E., Loer, B., Masten, M.G., Michaud, E., Michielin, E., Miller, J., Novati, V., Oblath, N.S., Orrell, J.L., Perry, W.L., Redl, P., Reynolds, T., Saab, T., Sadoulet, B., Serniak, K., Singh, J., Speaks, Z., Stanford, C., Stevens, J.R., Strube, J., Toback, D., Ullom, J.N., VanDevender, B.A., Vissers, M.R., Wilson, M.J., Wilson, J.S., Zatschler, B., Zatschler, S. (2023). ”G4CMP: Condensed matter physics simulation using the GEANT4 toolkit”, Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1055 (-), -. DOI: 10.1016/j.nima.2023.168473
Ashtari Esfahani, A., Böser, S., Buzinsky, N., Carmona-Benitez, M., Claessens, C., de Viveiros, L., Fertl, M., Formaggio, J., Gladstone, L., Grando, M., Hartse, J., Heeger, K., Huyan, X., Jones, A., Kazkaz, K., Li, M., Lindman, A., Matthé, C., Mohiuddin, R., Monreal, B., Mueller, R., Nikkel, J., Novitski, E., Oblath, N., Peña, J., Pettus, W., Reimann, R., Robertson, R., Saldaña, L., Slocum, P., Stachurska, J., Sun, Y.-H., Surukuchi, P., Telles, A., Thomas, F., Thomas, M., Thorne, L., Thümmler, T., Tvrznikova, L., Van De Pontseele, W., VanDevender, B., Weiss, T., Wendler, T., Zayas, E., Ziegler, A. (2023). ”SYNCA: A Synthetic Cyclotron Antenna for the Project 8 Collaboration”, Journal of Instrumentation, 18 (1), -. DOI: 10.1088/1748-0221/18/01/P01034
Cheng, C., Zhou, Y., Xu, Y., Jia, H., Kim, J., Xu, W., Wang, C., Gao, P., Zhu, Z. (2023). ”Dynamic Molecular Investigation of the Solid-Electrolyte Interphase of an Anode-Free Lithium Metal Battery Using In Situ Liquid SIMS and Cryo-TEM”, Nano Letters, 23 (18), 8385-8391. DOI: 10.1021/acs.nanolett.3c00709
Baker, C.R., Patel-Tupper, D., Cole, B.J., Ching, L.G., Dautermann, O., Kelikian, A.C., Allison, C., Pedraza, J., Sievert, J., Bilbao, A., Lee, J.-Y., Kim, Y.-M., Kyle, J.E., Bloodsworth, K.J., Paurus, V., Hixson, K.K., Hutmacher, R., Dahlberg, J., Lemaux, P.G., Niyogi, K.K. (2023). ”Metabolomic, photoprotective, and photosynthetic acclimatory responses to post-flowering drought in sorghum”, Plant Direct, 7 (11), -. DOI: 10.1002/pld3.545
Richard, R.M., Keipert, K., Waldrop, J., Keçeli, M., Williams-Young, D., Bair, R., Boschen, J., Crandall, Z., Gasperich, K., Mahmud, Q.I., Panyala, A., Valeev, E., van Dam, H., de Jong, W.A., Windus, T.L. (2023). ”PluginPlay: Enabling exascale scientific software one module at a time”, Journal of Chemical Physics, 158 (18), -. DOI: 10.1063/5.0147903
2022
Hadjivasiliou, C., Fulsom, B.G., Strube, J.F., Adachi, I., Aihara, H., Asner, D.M., Atmacan, H., Aushev, T., Babu, V., Belous, K., Bennett, J., Bessner, M., Bhardwaj, V., Bhuyan, B., Bilka, T., Biswal, J., Bodrov, D., Borah, J., Bozek, A., Bračko, M., Branchini, P., Browder, T.E., Budano, A., Campajola, M., Červenkov, D., Chang, M.-C., Chang, P., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., De Pietro, G., Di Capua, F., DoleŽal, Z., Dong, T.V., Dossett, D., Epifanov, D., Ferber, T., Garg, R., Gaur, V., Giri, A., Goldenzweig, P., Gu, T., Gudkova, K., Hayashii, H., Hou, W.-S., Hsu, C.-L., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jia, S., Jin, Y., Kahn, J., Kaliyar, A.B., Kang, K.H., Karyan, G., Kiesling, C., Kim, C.H., Kim, D.Y., Kim, K.T., Kim, Y.-K., Kodyš, P., Konno, T., Korobov, A., Korpar, S., Kovalenko, E., KriŽan, P., Kroeger, R., Krokovny, P., Kumar, R., Kumara, K., Kwon, Y.-J., Lee, S.C., Li, L.K., Li, S.X., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Macqueen, C., Masuda, M., Matvienko, D., Merola, M., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mussa, R., Nakao, M., Natkaniec, Z., Natochii, A., Nayak, M., Nisar, N.K., Nishida, S., Nishimura, K., Ono, H., Oskin, P., Pakhlov, P., Pakhlova, G., Pang, T., Park, S.-H., Paul, S., Pedlar, T.K., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Shapkin, M., Shen, C.P., Shiu, J.-G., Shwartz, B., Simon, F., Singh, J.B., Solovieva, E., Starič, M., Stottler, Z.S., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Unno, Y., Uno, S., Van Tonder, R., Varner, G., Vinokurova, A., Waheed, E., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Wang, X.L., Watanuki, S., Wood, L., Yabsley, B.D., Yan, W., Ye, H., Yelton, J., Yin, J.H., Zhang, Z.P., Zhilich, V., Zhukova, V. (2022). ”Search for B0 meson decays into Λ and missing energy with a hadronic tagging method at Belle”, Physical Review D, 105 (5), -. DOI: 10.1103/PhysRevD.105.L051101
Friese, R.D. (2022). ”Message from the HCW General Chair”, Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, - (-), -. DOI: 10.1109/IPDPSW55747.2022.00009
Ghosh, S., Grant, R., Zambre, R. (2022). ”Message from the TPC Chairs HOTI 2022”, Proceedings - 2022 IEEE Symposium on High-Performance Interconnects, HOTI 2022, - (-), -. DOI: 10.1109/HOTI55740.2022.00006
Mao, Y., Sharma, V., Zheng, W., Cheng, L., Guan, Q., Li, A. (2022). ”Elastic Resource Management for Deep Learning Applications in a Container Cluster”, IEEE Transactions on Cloud Computing, - (-), 1-13. DOI: 10.1109/TCC.2022.3194128
Peng, B., Gulania, S., Alexeev, Y., Govind, N. (2022). ”Quantum time dynamics employing the Yang-Baxter equation for circuit compression”, Physical Review A, 106 (1), -. DOI: 10.1103/PhysRevA.106.012412
Santis, G.D., Takeda, N., Hirata, K., Tsuruta, K., Ishiuchi, S.-I., Xantheas, S.S., Fujii, M. (2022). ”Structure of Gas Phase Monohydrated Nicotine: Implications for Nicotine's Native Structure in the Acetylcholine Binding Protein”, Journal of the American Chemical Society, 144 (37), 16698-16702. DOI: 10.1021/jacs.2c04064
Heindel, J.P., Kirov, M.V., Xantheas, S.S. (2022). ”Hydrogen bond arrangements in (H2O)20, 24, 28clathrate hydrate cages: Optimization and many-body analysis”, Journal of Chemical Physics, 157 (9), -. DOI: 10.1063/5.0095335
Zeng, C., Fu, Y., Singh, R., Bao, J., Xu, Z. (2022). ”Differentiation of static and dynamic interfacial area in the structured packed column”, Chemical Engineering Science, 260 (-), -. DOI: 10.1016/j.ces.2022.117877
Tumeo, A., Minutoli, M., Feo, J., Castellana, V.G. (2022). ”Message from the IA322 Workshop Chairs”, Proceedings of IA3 2022: Workshop on Irregular Applications: Architectures and Algorithms, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis, - (-), -. DOI: 10.1109/IA356718.2022.00004
Li, J., Stinis, P. (2022). ”MODEL REDUCTION FOR A POWER GRID MODEL”, Journal of Computational Dynamics, 9 (1), 1-26. DOI: 10.3934/JCD.2021019
Tzeli, D., Xantheas, S.S. (2022). ”Breaking covalent bonds in the context of the many-body expansion (MBE). I. the purported "first row anomaly" in XHn (X = C, Si, Ge, Sn; N = 1-4)”, Journal of Chemical Physics, 156 (24), -. DOI: 10.1063/5.0095329
Stein, S.A., Wiebe, N., Ang, J., Li, A. (2022). ”Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles”, Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, - (-), 616-617. DOI: 10.1109/IPDPSW55747.2022.00105
Gao, P., Andersen, A., Sepulveda, J., Panapitiya, G.U., Hollas, A., Saldanha, E.G., Murugesan, V., Wang, W. (2022). ”SOMAS: a platform for data-driven material discovery in redox flow battery development”, Scientific Data, 9 (1), -. DOI: 10.1038/s41597-022-01814-4
Wu, N., Castellana, V.G., Kaiser, H. (2022). ”Towards superior software portability with SHAD and HPX C++ libraries”, ACM International Conference Proceeding Series, - (-), 251-257. DOI: 10.1145/3528416.3530784
Minutoli, M., Castellana, V.G., Saporetti, N., Devecchi, S., Lattuada, M., Fezzardi, P., Tumeo, A., Ferrandi, F. (2022). ”Svelto: High-Level Synthesis of Multi-Threaded Accelerators for Graph Analytics”, IEEE Transactions on Computers, 71 (3), 520-533. DOI: 10.1109/TC.2021.3057860
Lee, K., Trask, N., Stinis, P. (2022). ”Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling”, Proceedings of Machine Learning Research, 190 (-), 65-80. https://-
Date, P., Potok, T., Schuman, C., Kay, B. (2022). ”Neuromorphic Computing is Turing-Complete”, ACM International Conference Proceeding Series, - (-), -. DOI: 10.1145/3546790.3546806
Ashraf, R.A., Gioiosa, R. (2022). ”Exploring the Use of Novel Spatial Accelerators in Scientific Applications”, ICPE 2022 - Proceedings of the 2022 ACM/SPEC International Conference on Performance Engineering, - (-), 47-58. DOI: 10.1145/3489525.3511690
Mason, C.J.T., Choi, K.S., Soulami, A., Johnson, K.I., Brooks, K.P., Karri, N.K., Joshi, V.V. (2022). ”COMPUTATIONAL MODELING OF MULTI-PASS ROLLING PARAMETERS EFFECT ON RESULTING FUEL FOIL SHAPE”, ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 6 (-), -. DOI: 10.1115/IMECE2022-95081
Panchal, K., Das, S.S., De La Torre, L., Miller, J., Rallo, R., Halappanavar, M. (2022). ”Efficient Clustering of Software Vulnerabilities using Self Organizing Map (SOM)”, 2022 IEEE International Symposium on Technologies for Homeland Security, HST 2022, - (-), -. DOI: 10.1109/HST56032.2022.10025443
Agostini, N.B., Curzel, S., Limaye, A., Amatya, V., Minutoli, M., Castellana, V.G., Manzano, J., Tumeo, A., Ferrandi, F. (2022). ”Invited: The SODA Approach: Leveraging High-Level Synthesis for Hardware/Software Co-design and Hardware Specialization”, Proceedings - Design Automation Conference, - (-), 1359-1362. DOI: 10.1145/3489517.3530628
Watson, J.R., Chatterjee, S., Ganguly, A. (2022). ”Resilience of Urban Rail Transit Networks under Compound Natural and Opportunistic Failures”, 2022 IEEE International Symposium on Technologies for Homeland Security, HST 2022, - (-), -. DOI: 10.1109/HST56032.2022.10025456
Agostini, N.B., Curzel, S., Amatya, V., Tan, C., Minutoli, M., Castellana, V.G., Manzano, J., Kaeli, D., Tumeo, A. (2022). ”An MLIR-based compiler flow for system-level design and hardware acceleration”, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, - (-), -. DOI: 10.1145/3508352.3549424
Tan, C., Agostini, N.B., Geng, T., Xie, C., Li, J., Li, A., Barker, K.J., Tumeo, A. (2022). ”DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs”, Proceedings - International Symposium on High-Performance Computer Architecture, 2022- (-), 304-316. DOI: 10.1109/HPCA53966.2022.00030
Rajput, A., Roggero, A., Wiebe, N. (2022). ”Hybridized Methods for Quantum Simulation in the Interaction Picture”, Quantum, 6 (-), 1-41. https://10.22331/Q-2022-08-17-780
Baheri, B., Guan, Q., Chaudhary, V., Li, A. (2022). ”Quantum Noise in the Flow of Time: A Temporal Study of the Noise in Quantum Computers”, Proceedings - 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design, IOLTS 2022, - (-), -. DOI: 10.1109/IOLTS56730.2022.9897404
Qadeer, S., Santis, G.D., Stinis, P., Xantheas, S.S. (2022). ”Vibrational levels of a generalized Morse potential”, Journal of Chemical Physics, 157 (14), -. DOI: 10.1063/5.0103433
Barik, R., Minutoli, M., Halappanavar, M., Kalyanaraman, A. (2022). ”IMpart: A Partitioning-based Parallel Approach to Accelerate Influence Maximization”, Proceedings - 2022 IEEE 29th International Conference on High Performance Computing, Data, and Analytics, HiPC 2022, - (-), 125-134. DOI: 10.1109/HiPC56025.2022.00028
Zhang, C., Jin, S., Geng, T., Tian, J., Li, A., Tao, D. (2022). ”CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Designed Adaptive Lossy Compression”, Proceedings of the International Conference on Supercomputing, - (-), -. DOI: 10.1145/3524059.3532362
Sharma, P., Riepnieks, A., Reiman, A., Singh, A., Melton, R., Ogle, J., Allwardt, C. (2022). ”Model-Based Interface Design for Smart Field-Device Integration”, Papers Presented at the Annual Conference - Rural Electric Power Conference, 2022- (-), 31-37. DOI: 10.1109/REPEC55671.2022.00014
Huang, R., Chen, Y., Yin, T., Huang, Q., Tan, J., Yu, W., Li, X., Li, A., Du, Y. (2022). ”Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning”, IEEE Transactions on Power Systems, 37 (6), 4168-4178. DOI: 10.1109/TPWRS.2022.3155117
Rustam, S., Schram, M., Lu, Z., Chaka, A.M., Rosenthal, W.S., Pfaendtner, J. (2022). ”Optimization of Thermal Conductance at Interfaces Using Machine Learning Algorithms”, ACS Applied Materials and Interfaces, 14 (28), 32590-32597. DOI: 10.1021/acsami.1c23222
Peng, B., Kowalski, K. (2022). ”Mapping renormalized coupled cluster methods to quantum computers through a compact unitary representation of nonunitary operators”, Physical Review Research, 4 (4), -. DOI: 10.1103/PhysRevResearch.4.043172
Li, L., Reza-E-Rabby, M., Overman, N., Wang, T., Whalen, S., Grant, G., Mathaudhu, S., Soulami, A. (2022). ”Analysis of contact conditions and microstructure evolution in shear assisted processing and extrusion using smoothed particle hydrodynamics method”, Materials and Design, 221 (-), -. DOI: 10.1016/j.matdes.2022.111010
Kulkarni, S.S., Choi, K.S., Simmons, K. (2022). ”Coupled diffusion-deformation-damage model for polymers used in hydrogen infrastructure”, Proceedings of ASME 2022 17th International Manufacturing Science and Engineering Conference, MSEC 2022, 2 (-), -. DOI: 10.1115/MSEC2022-80231
Li, A., Guan, Q. (2022). ”International Workshop on Quantum Classical Cooperative Computing (QCCC 2022)”, Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, - (-), -. https://10.1109/IPDPSW55747.2022.00100
Agostini, N.B., Limaye, A., Minutoli, M., Castellana, V.G., Manzano, J., Tumeo, A., Curzel, S., Ferrandi, F. (2022). ”SODA synthesizer: An open-source, multi-level, modular, extensible compiler from high-level frameworks to silicon”, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, - (-), -. DOI: 10.1145/3508352.3561101
Vamvoudakis, K.G., Lewis, F.L., Vrabie, D. (2022). ”Reinforcement learning with applications in autonomous control and game theory”, Handbook On Computer Learning And Intelligence, 2-2 (-), 731-773. DOI: 10.1142/9789811247323_0019
You, H., Geng, T., Zhang, Y., Li, A., Lin, Y. (2022). ”GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design”, Proceedings - International Symposium on High-Performance Computer Architecture, 2022- (-), 460-474. DOI: 10.1109/HPCA53966.2022.00041
Nowak, K., Marrero, C.O., Young, S.J. (2022). ”ON THE STRUCTURE OF ISOMETRICALLY EMBEDDABLE METRIC SPACES”, Electronic Journal of Linear Algebra, 38 (-), 91-106. DOI: 10.13001/ela.2022.6891
Aulicino, J.C., Keen, T., Peng, B. (2022). ”State preparation and evolution in quantum computing: A perspective from Hamiltonian moments”, International Journal of Quantum Chemistry, 122 (5), -. DOI: 10.1002/qua.26853
Agarwal, K., Choudhury, S., Tipirneni, S., Mukherjee, P., Ham, C., Tamang, S., Baker, M., Tang, S., Kocaman, V., Gevaert, O., Rallo, R., Reddy, C.K. (2022). ”Preparing for the next pandemic via transfer learning from existing diseases with hierarchical multi-modal BERT: a study on COVID-19 outcome prediction”, Scientific Reports, 12 (1), -. DOI: 10.1038/s41598-022-13072-w
Eswaran, S., Subramaniam, S., Sanyal, U., Rallo, R., Zhang, X. (2022). ”Molecular structural dataset of lignin macromolecule elucidating experimental structural compositions”, Scientific Data, 9 (1), -. DOI: 10.1038/s41597-022-01709-4
Waheed, E., Urquijo, P., Adachi, I., Aihara, H., Al Said, S., Asner, D.M., Atmacan, H., Aulchenko, V., Aushev, T., Bahinipati, S., Behera, P., Belous, K., Bennett, J., Bessner, M., Bhardwaj, V., Bhuyan, B., Bilka, T., Biswal, J., Bobrov, A., Bodrov, D., Borah, J., Bozek, A., Bračko, M., Branchini, P., Browder, T.E., Budano, A., Campajola, M., Červenkov, D., Chang, M.-C., Chang, P., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., De Nardo, G., De Pietro, G., Dhamija, R., Di Capua, F., DoleŽal, Z., Dong, T.V., Epifanov, D., Ferber, T., Ferlewicz, D., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Giri, A., Goldenzweig, P., Golob, B., Graziani, E., Gu, T., Guan, Y., Gudkova, K., Hadjivasiliou, C., Halder, S., Hartbrich, O., Hayasaka, K., Hayashii, H., Hou, W.-S., Hsu, C.-L., Iijima, T., Inami, K., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jia, S., Jin, Y., Joo, K.K., Kaliyar, A.B., Kang, K.H., Kichimi, H., Kim, C.H., Kim, D.Y., Kim, K.-H., Kim, K.T., Kim, Y.-K., Kinoshita, K., Kodyš, P., Konno, T., Korobov, A., Korpar, S., Kovalenko, E., KriŽan, P., Kroeger, R., Krokovny, P., Kumar, M., Kumar, R., Kumara, K., Kwon, Y.-J., Lai, Y.-T., Lange, J.S., Laurenza, M., Lee, S.C., Li, J., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Macqueen, C., Masuda, M., Matsuda, T., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mussa, R., Nakao, M., Natochii, A., Nayak, L., Nayak, M., Niiyama, M., Nisar, N.K., Nishida, S., Ogawa, S., Ono, H., Oskin, P., Pakhlov, P., Pakhlova, G., Pang, T., Park, H., Park, S.-H., Passeri, A., Patra, S., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sandilya, S., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schwanda, C., Schwartz, A.J., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shen, C.P., Shiu, J.-G., Simon, F., Singh, J.B., Sokolov, A., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumihama, M., Sumiyoshi, T., Sutcliffe, W., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Trabelsi, K., Uchida, M., Uglov, T., Unno, Y., Uno, K., Uno, S., Usov, Y., Vahsen, S.E., Van Tonder, R., Varner, G., Varvell, K.E., Vinokurova, A., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Wang, X.L., Wiechczynski, J., Won, E., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yelton, J., Yin, J.H., Yusa, Y., Zhang, Z.P., Zhilich, V., Zhukova, V. (2022). ”Study of B ¯ 0 →d+h- (h=K/π) decays at Belle STUDY of B ¯ 0 →d+h- (h=K/π) ... WAHEED E. et al.”, Physical Review D, 105 (1), -. DOI: 10.1103/PhysRevD.105.012003
Hirsh, S.M., Barajas-Solano, D.A., Kutz, J.N. (2022). ”Sparsifying priors for Bayesian uncertainty quantification in model discovery”, Royal Society Open Science, 9 (2), -. DOI: 10.1098/rsos.211823
Herman, K.M., Stone, A.J., Xantheas, S.S. (2022). ”Erratum: A classical model for three-body interactions in aqueous ionic systems (J. Chem. Phys. (2022) 157 (024101) DOI: 10.1063/5.0095739)”, Journal of Chemical Physics, 157 (12), -. DOI: 10.1063/5.0123910
Das, S.S., Dutta, A., Purohit, S., Serra, E., Halappanavar, M., Pothen, A. (2022). ”Towards Automatic Mapping of Vulnerabilities to Attack Patterns using Large Language Models”, 2022 IEEE International Symposium on Technologies for Homeland Security, HST 2022, - (-), -. DOI: 10.1109/HST56032.2022.10025459
Stein, S., Wiebe, N., Ang, J., Li, A. (2022). ”Benchmarking Quantum Processor Performance through Quantum Distance Metrics Over An Algorithm Suite”, Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, - (-), 618-624. DOI: 10.1109/IPDPSW55747.2022.00106
Tiwari, D., Jero, S., Ujcich, B., Hoque, E., Cinque, M., Hsiao, H.-C., Skowyra, R., Guan, Q., Fang, B., Zonouz, S.A., Li, G. (2022). ”Message from the Fast Abstracts Chairs: DSN 2022”, Proceedings - 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2022, - (-), XI-XII. DOI: 10.1109/DSN-S54099.2022.00007
Stavenger, T.J., Crane, E., Smith, K.C., Kang, C.T., Girvin, S.M., Wiebe, N. (2022). ”C2QA - Bosonic Qiskit”, 2022 IEEE High Performance Extreme Computing Conference, HPEC 2022, - (-), -. DOI: 10.1109/HPEC55821.2022.9926318
Aimone, J.B., Date, P., Fonseca-Guerra, G.A., Hamilton, K.E., Henke, K., Kay, B., Kenyon, G.T., Kulkarni, S.R., Mniszewski, S.M., Parsa, M., Risbud, S.R., Schuman, C.D., Severa, W., Smith, J.D. (2022). ”A review of non-cognitive applications for neuromorphic computing”, Neuromorphic Computing and Engineering, 2 (3), -. DOI: 10.1088/2634-4386/ac889c
Cortez, W.S., Drgona, J., Tuor, A., Halappanavar, M., Vrabie, D. (2022). ”Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach”, Proceedings of the IEEE Conference on Decision and Control, 2022- (-), 932-938. DOI: 10.1109/CDC51059.2022.9993146
Liu, X.T., Firoz, J., Gebremedhin, A.H., Lumsdaine, A. (2022). ”NWHy: A Framework for Hypergraph Analytics: Representations, Data structures, and Algorithms”, Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, - (-), 275-284. DOI: 10.1109/IPDPSW55747.2022.00057
Sun, J., Yang, L., Zhang, J., Liu, F., Halappanavar, M., Fan, D., Cao, Y. (2022). ”Gradient-Based Novelty Detection Boosted by Self-Supervised Binary Classification”, Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, 36 (-), 8370-8377.
Wang, P., Shi, T., Agarwal, K., Choudhury, S., Reddy, C.K. (2022). ”Attention-based aspect reasoning for knowledge base question answering on clinical notes”, Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2022, - (-), -. DOI: 10.1145/3535508.3545518
Purohit, S., Chin, G., Holder, L.B. (2022). ”ITeM: Independent temporal motifs to summarize and compare temporal networks”, Intelligent Data Analysis, 26 (4), 1071-1096. DOI: 10.3233/IDA-205698
Hussain, M.T., Khan, A., Azad, A., Chatterjee, S., Brigantic, R., Halappanavar, M. (2022). ”Disruption-Robust Community Detection Using Consensus Clustering in Complex Networks”, 2022 IEEE International Symposium on Technologies for Homeland Security, HST 2022, - (-), -. DOI: 10.1109/HST56032.2022.10024983
Li, S., Li, L., Soulami, A., Powell, C.A., Mathaudhu, S., Devaraj, A., Wang, C. (2022). ”In-situ observation of deformation twin associated sub-grain boundary formation in copper single crystal under bending”, Materials Research Letters, 10 (7), 488-495. DOI: 10.1080/21663831.2022.2057201
Drgona, J., Mukherjee, S., Tuor, A., Halappanavar, M., Vrabie, D. (2022). ”Learning Stochastic Parametric Differentiable Predictive Control Policies”, IFAC-PapersOnLine, 55 (25), 121-126. DOI: 10.1016/j.ifacol.2022.09.334
Nandanoori, S.P., Kundu, S., Lian, J., Vaidya, U., Vrabie, D., Kalsi, K. (2022). ”Sparse Control Synthesis for Uncertain Responsive Loads with Stochastic Stability Guarantees”, IEEE Transactions on Power Systems, 37 (1), 167-178. DOI: 10.1109/TPWRS.2021.3095827
Singh, R.K., Fu, Y., Zeng, C., Nguyen, D.T., Roy, P., Bao, J., Xu, Z., Panagakos, G. (2022). ”Hydrodynamics of countercurrent flow in an additive-manufactured column with triply periodic minimal surfaces for carbon dioxide capture”, Chemical Engineering Journal, 450 (-), -. DOI: 10.1016/j.cej.2022.138124
Gangwal, U., Singh, M., Pandey, P.K., Kamboj, D., Chatterjee, S., Bhatia, U. (2022). ”Identifying early-warning indicators of onset of sudden collapse in networked infrastructure systems against sequential disruptions”, Physica A: Statistical Mechanics and its Applications, 591 (-), -. DOI: 10.1016/j.physa.2021.126796
Tan, C., Tambe, T., Zhang, J.J., Fang, B., Geng, T., Wei, G.-Y., Brooks, D., Tumeo, A., Gopalakrishnan, G., Li, A. (2022). ”ASAP: Automatic Synthesis of Area-Efficient and Precision-Aware CGRAs”, Proceedings of the International Conference on Supercomputing, - (-), -. DOI: 10.1145/3524059.3532359
Dylewsky, D., Barajas-Solano, D., Ma, T., Tartakovsky, A.M., Kutz, J.N. (2022). ”Stochastically Forced Ensemble Dynamic Mode Decomposition for Forecasting and Analysis of Near-Periodic Systems”, IEEE Access, 10 (-), 33440-33448. DOI: 10.1109/ACCESS.2022.3161438
Gawande, N., Ghosh, S., Halappanavar, M., Tumeo, A., Kalyanaraman, A. (2022). ”Towards scaling community detection on distributed-memory heterogeneous systems”, Parallel Computing, 111 (-), -. DOI: 10.1016/j.parco.2022.102898
Zarayeneh, N., Kumar, N., Kalyanaraman, A., Clark, A.E. (2022). ”Dynamic Community Detection Decouples Multiple Time Scale Behavior of Complex Chemical Systems”, Journal of Chemical Theory and Computation, 18 (12), 7043-7051. DOI: 10.1021/acs.jctc.2c00454
Fu, W., Li, Y., Hu, S., Sushko, P., Mathaudhu, S. (2022). ”Effect of loading path on grain misorientation and geometrically necessary dislocation density in polycrystalline aluminum under reciprocating shear”, Computational Materials Science, 205 (-), -. DOI: 10.1016/j.commatsci.2022.111221
Bakker, C., August, A., Huang, S., Vasisht, S., Vrabie, D.L. (2022). ”Deception-Based Cyber Attacks on Hierarchical Control Systems using Domain-Aware Koopman Learning*”, 2022 Resilience Week, RWS 2022 - Proceedings, - (-), -. DOI: 10.1109/RWS55399.2022.9984030
Mejuto-Zaera, C., Tzeli, D., Williams-Young, D., Tubman, N.M., Matoušek, M., Brabec, J., Veis, L., Xantheas, S.S., De Jong, W.A., Tubman, N.M., Veis, L., Xantheas, S.S., De Jong, W.A. (2022). ”The Effect of Geometry, Spin, and Orbital Optimization in Achieving Accurate, Correlated Results for Iron-Sulfur Cubanes”, Journal of Chemical Theory and Computation, 18 (2), 687-702. DOI: 10.1021/acs.jctc.1c00830
Behnam, A., Truster, T.J., Tipireddy, R., Messner, M.C., Gupta, V. (2022). ”Uncertainty Quantification Framework for Predicting Material Response with Large Number of Parameters: Application to Creep Prediction in Ferritic-Martensitic Steels Using Combined Crystal Plasticity and Grain Boundary Models”, Integrating Materials and Manufacturing Innovation, 11 (4), 516-531. DOI: 10.1007/s40192-022-00277-0
Horawalavithana, S., Ayton, E., Sharma, S., Howland, S., Subramanian, M., Vasquez, S., Cosbey, R., Glenski, M., Volkova, S. (2022). ”Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned”, 2022 Challenges and Perspectives in Creating Large Language Models, Proceedings of the Workshop, - (-), 160-172. DOI: 10.18653/v1/2022.bigscience-1.12
Li, J., Hu, S., Li, Y., Shi, S.-Q. (2022). ”A multi-phase-field model of topological pattern formation during electrochemical dealloying of binary alloys”, Computational Materials Science, 203 (-), -. DOI: 10.1016/j.commatsci.2021.111103
Świrydowicz, K., Darve, E., Jones, W., Maack, J., Regev, S., Saunders, M.A., Thomas, S.J., Peleš, S. (2022). ”Linear solvers for power grid optimization problems: A review of GPU-accelerated linear solvers”, Parallel Computing, 111 (-), -. DOI: 10.1016/j.parco.2021.102870
Ashari, R., Ashok, P., van Oort, E., Sørlie, C., Petty, S., Rallo, R., Schultz, A., Bour, D. (2022). ”Optimizing Rate of Penetration and Tripping Decision-Making using Real-Time Bit Wear Monitoring While Drilling Geothermal Wells”, Transactions - Geothermal Resources Council, 46 (-), 819-837. https://www.osti.gov/biblio/1975092
Nandipati, G., Hammond, K.D., Maroudas, D., Roche, K.J., Kurtz, R.J., Wirth, B.D., Setyawan, W. (2022). ”Effect of helium flux on near-surface helium accumulation in plasma-exposed tungsten”, Journal of Physics Condensed Matter, 34 (3), -. DOI: 10.1088/1361-648X/ac2ca7
He, Q., Fu, Y., Stinis, P., Tartakovsky, A. (2022). ”Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery”, Journal of Power Sources, 542 (-), -. DOI: 10.1016/j.jpowsour.2022.231807
Zou, L., Gao, P., Jia, H., Cao, X., Wu, H., Wang, H., Zhao, W., Matthews, B.E., Xu, Z., Li, X., Zhang, J.-G., Xu, W., Wang, C. (2022). ”Nonsacrificial Additive for Tuning the Cathode–Electrolyte Interphase of Lithium-Ion Batteries”, ACS Applied Materials and Interfaces, 14 (3), 4111-4118. DOI: 10.1021/acsami.1c20789
Lumsdaine, A., D'Alessandro, L., Deweese, K., Firoz, J., Liu, X.T., McMillan, S., Ratzloff, J.P., Zalewski, M. (2022). ”NWGraph: A Library of Generic Graph Algorithms and Data Structures in C++20”, Leibniz International Proceedings in Informatics, LIPIcs, 222 (-), -. DOI: 10.4230/LIPIcs.ECOOP.2022.31
Li, L., Fortier, A., Ramirez-Tamayo, D., Joshi, V.V., Soulami, A. (2022). ”Minimizing thickness variation in monolithic U-10Mo fuel foil and Zr interlayer during hot rolling: A microstructure-based finite element method analysis”, Materials Today Communications, 32 (-), -. DOI: 10.1016/j.mtcomm.2022.103910
Yeung, Y.-H., Barajas-Solano, D.A., Tartakovsky, A.M. (2022). ”Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems”, Water Resources Research, 58 (5), -. DOI: 10.1029/2021WR031023
Keller, M.T., Trenk, A.N., Young, S.J. (2022). ”Dimension of Restricted Classes of Interval Orders”, Graphs and Combinatorics, 38 (5), -. DOI: 10.1007/s00373-022-02543-6
Bartoldson, B., Wang, R., Fu, Y., Widemann, D., Nguyen, S., Bao, J., Xu, Z., Ng, B. (2022). ”Latent Space Simulation for Carbon Capture Design Optimization”, Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, 36 (-), 12447-12453.
Shaw Cortez, W., Dimarogonas, D.V. (2022). ”Safe-by-design control for Euler–Lagrange systems”, Automatica, 146 (-), -. DOI: 10.1016/j.automatica.2022.110620
Pasquini, M., Grosjean, N., Hixson, K.K., Nicora, C.D., Yee, E.F., Lipton, M., Blaby, I.K., Haley, J.D., Blaby-Haas, C.E. (2022). ”Zng1 is a GTP-dependent zinc transferase needed for activation of methionine aminopeptidase”, Cell Reports, 39 (7), -. DOI: 10.1016/j.celrep.2022.110834
Young, S., Aksoy, S., Firoz, J., Gioiosa, R., Hagge, T., Kempton, M., Escobedo, J., Raugas, M. (2022). ”SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks”, Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium, IPDPS 2022, - (-), 1040-1050. DOI: 10.1109/IPDPS53621.2022.00105
Dutta, A., Purohit, S., Bhattacharya, A., Bel, O. (2022). ”Cyber Attack Sequences Generation for Electric Power Grid”, 2022 10th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems, MSCPES 2022, - (-), -. DOI: 10.1109/MSCPES55116.2022.9770105
Gwalani, B., Pang, Q., Yu, A., Fu, W., Li, L., Pole, M., Roach, C., Mathaudhu, S.N., Ajantiwalay, T., Efe, M., Hu, S., Song, M., Soulami, A., Rohatgi, A., Li, Y., Sushko, P.V., Devaraj, A. (2022). ”Extended Shear Deformation of the Immiscible Cu-Nb Alloy Resulting in Nanostructuring and Oxygen Ingress with Enhancement in Mechanical Properties”, ACS Omega, 7 (16), 13721-13736. DOI: 10.1021/acsomega.1c07368
Nandanoori, S.P., Guan, S., Kundu, S., Pal, S., Agarwal, K., Wu, Y., Choudhury, S. (2022). ”Graph Neural Network and Koopman Models for Learning Networked Dynamics: A Comparative Study on Power Grid Transients Prediction”, IEEE Access, 10 (-), 32337-32349. DOI: 10.1109/ACCESS.2022.3160710
Howard, A.A., Yu, T., Wang, W., Tartakovsky, A.M. (2022). ”Physics-informed CoKriging model of a redox flow battery”, Journal of Power Sources, 542 (-), -. DOI: 10.1016/j.jpowsour.2022.231668
Patra, S., Bhardwaj, V., Trabelsi, K., Adachi, I., Aihara, H., Al Said, S., Asner, D.M., Atmacan, H., Aushev, T., Ayad, R., Babu, V., Bahinipati, S., Behera, P., Belous, K., Bennett, J., Bessner, M., Bhuyan, B., Bilka, T., Bobrov, A., Bodrov, D., Borah, J., Bozek, A., Bračko, M., Branchini, P., Browder, T.E., Budano, A., Campajola, M., Červenkov, D., Chang, M.-C., Chang, P., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., De Nardo, G., De Pietro, G., Dhamija, R., Di Capua, F., Dingfelder, J., Doležal, Z., Dong, T.V., Epifanov, D., Ferber, T., Frey, A., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Giri, A., Goldenzweig, P., Graziani, E., Gu, T., Hara, T., Hayasaka, K., Hayashii, H., Hedges, M.T., Hernandez, M., Villanueva, Hou, W.-S., Hsu, C.-L., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jang, E.-J., Jia, S., Jin, Y., Joo, K.K., Kahn, J., Kaliyar, A.B., Kang, K.H., Karyan, G., Kawasaki, T., Kiesling, C., Kim, C.H., Kim, D.Y., Kim, K.-H., Kim, K.T., Kim, Y.-K., Kinoshita, K., Kodyš, P., Konno, T., Korobov, A., Korpar, S., Kovalenko, E., Križan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kumar, M., Kumar, R., Kumara, K., Kuzmin, A., Kwon, Y.-J., Lalwani, K., Lam, T., Lange, J.S., Lee, S.C., Li, C.H., Li, J., Li, L.K., Li, Y., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Martini, A., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mussa, R., Nakao, M., Natochii, A., Nayak, L., Nayak, M., Nisar, N.K., Nishida, S., Ogawa, K., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlov, P., Pakhlova, G., Pang, T., Pardi, S., Park, H., Park, S.-H., Passeri, A., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shen, C.P., Shiu, J.-G., Shwartz, B., Simon, F., Singh, J.B., Sokolov, A., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Unno, Y., Uno, S., Urquijo, P., Usov, Y., Van Tonder, R., Varner, G., Vinokurova, A., Vossen, A., Waheed, E., Wang, C.H., Wang, D., Wang, E., Wang, M.-Z., Watanuki, S., Won, E., Xu, X., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yelton, J., Yin, J.H., Yuan, C.Z., Yusa, Y., Zhai, Y., Zhang, Z.P., Zhilich, V., Zhukova, V., Zhulanov, V. (2022). ”Search for charged lepton flavor violating decays of ϒ (1S)”, Journal of High Energy Physics, 2022 (5), -. DOI: 10.1007/JHEP05(2022)095
Jeon, H.B., Kang, K.H., Park, H., Adachi, I., Aihara, H., Al Said, S., Asner, D.M., Atmacan, H., Aushev, T., Ayad, R., Babu, V., Bahinipati, S., Behera, P., Belous, K., Bennett, J., Bernlochner, F., Bessner, M., Bhardwaj, V., Bhuyan, B., Bilka, T., Bobrov, A., Bodrov, D., Borah, J., Bozek, A., Bračko, M., Branchini, P., Browder, T.E., Budano, A., Campajola, M., Červenkov, D., Chang, M.-C., Chang, P., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., Dash, N., De Pietro, G., Dhamija, R., Di Capua, F., Dingfelder, J., DoleŽal, Z., Dong, T.V., Epifanov, D., Ferber, T., Ferlewicz, D., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Giri, A., Goldenzweig, P., Golob, B., Graziani, E., Gu, T., Gudkova, K., Hadjivasiliou, C., Hara, T., Hayasaka, K., Hayashii, H., Hedges, M.T., Higuchi, T., Hou, W.-S., Hsu, C.-L., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jang, E.-J., Jia, S., Jin, Y., Joo, K.K., Kahn, J., Kakuno, H., Kaliyar, A.B., Kawasaki, T., Kiesling, C., Kim, C.H., Kim, D.Y., Kim, K.-H., Kim, K.T., Kim, Y.-K., Kinoshita, K., Kodyš, P., Konno, T., Korobov, A., Korpar, S., Kovalenko, E., KriŽan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kumar, M., Kumara, K., Kuzmin, A., Kwon, Y.-J., Lai, Y.-T., Lalwani, K., Lam, T., Lange, J.S., Laurenza, M., Lee, S.C., Li, C.H., Li, J., Li, Y., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Martini, A., Masuda, M., Matsuda, T., Matvienko, D., Maurya, S.K., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Nakao, M., Narwal, D., Natkaniec, Z., Natochii, A., Nayak, L., Nayak, M., Nisar, N.K., Nishida, S., Ogawa, K., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlov, P., Pakhlova, G., Pang, T., Pardi, S., Park, S.-H., Passeri, A., Patra, S., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Purohit, M.V., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shebalin, V., Shen, C.P., Shiu, J.-G., Singh, J.B., Sokolov, A., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Unno, Y., Uno, S., Urquijo, P., Usov, Y., Vahsen, S.E., Van Tonder, R., Varner, G., Varvell, K.E., Vinokurova, A., Vossen, A., Waheed, E., Wang, C.H., Wang, M.-Z., Watanuki, S., Won, E., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yelton, J., Yin, J.H., Yuan, C.Z., Yusa, Y., Zhai, Y., Zhang, Z.P., Zhilich, V., Zhukova, V. (2022). ”Search for the radiative penguin decays B0 → KS0 KS0 γ in the Belle experiment”, Physical Review D, 106 (1), -. DOI: 10.1103/PhysRevD.106.012006
Ranganath, K., Firoz, J., Suetterlein, J., Manzano, J., Marquez, A., Raugas, M., Wong, D. (2022). ”LC-MEMENTO: A Memory Model for Accelerated Architectures”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13181 (-), 67-82. DOI: 10.1007/978-3-030-99372-6_5
Poudel, S., Black, G.D., Stephan, E.G., Reiman, A.P. (2022). ”Admittance Matrix Validation for Power Distribution System Models Using a Networked Equipment Model Framework”, IEEE Access, 10 (-), 9108-9123. DOI: 10.1109/ACCESS.2022.3144124
Lee, H., Jain, M., Ghosh, S. (2022). ”Sparse Deep Neural Network Inference Using Different Programming Models”, 2022 IEEE High Performance Extreme Computing Conference, HPEC 2022, - (-), -. DOI: 10.1109/HPEC55821.2022.9926362
Aksoy, S.G., Hagberg, A., Joslyn, C.A., Kay, B., Purvine, E., Young, S.J. (2022). ”Models and Methods for Sparse (Hyper)Network Science in Business, Industry, and Government”, Notices of the American Mathematical Society, 69 (2), 287-291. DOI: 10.1090/noti2424
Inami, K., Hayasaka, K., Adachi, I., Aihara, H., Al Said, S., Asner, D.M., Aulchenko, V., Aushev, T., Ayad, R., Babu, V., Bahinipati, S., Behera, P., Bessner, M., Bhuyan, B., Bilka, T., Biswal, J., Bobrov, A., Bonvicini, G., Bozek, A., Bračko, M., Browder, T.E., Campajola, M., Červenkov, D., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., De Nardo, G., Dhamija, R., Di Capua, F., Doležal, Z., Dong, T.V., Dubey, S., Eidelman, S., Epifanov, D., Ferber, T., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Golob, B., Greenwald, D., Gudkova, K., Hadjivasiliou, C., Hartbrich, O., Hayashii, H., Hedges, M.T., Hou, W.-S., Hsu, C.-L., Iijima, T., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jang, E.-J., Jin, Y., Joo, C.W., Joo, K.K., Kato, Y., Kawasaki, T., Kichimi, H., Kiesling, C., Kim, C.H., Kim, D.Y., Kim, S.H., Kim, Y.-K., Kimmel, T.D., Kinoshita, K., Kodyš, P., Konno, T., Korpar, S., Križan, P., Kroeger, R., Krokovny, P., Kulasiri, R., Kumar, M., Kumar, R., Kumara, K., Kwon, Y.-J., Lalwani, K., Lange, J.S., Lee, S.C., Li, C.H., Li, J., Li, L.K., Li, Y.B., Gioi, L.L., Libby, J., Liventsev, D., MacQueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mohanty, S., Moon, T.J., Nakao, M., Natochii, A., Nayak, L., Nayak, M., Nisar, N.K., Nishida, S., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlov, P., Pakhlova, G., Pardi, S., Park, S.-H., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Rabusov, A., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shiu, J.-G., Shwartz, B., Simon, F., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumisawa, K., Sutcliffe, W., Takizawa, M., Tamponi, U., Tanida, K., Tao, Y., Tenchini, F., Trabelsi, K., Uchida, M., Uehara, S., Uno, S., Ushiroda, Y., Van Tonder, R., Varner, G., Vinokurova, A., Wang, C.H., Wang, E., Wang, P., Watanabe, M., Watanuki, S., Won, E., Xu, X., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yin, J.H., Yusa, Y., Zhang, Z.P., Zhilich, V., Zhukova, V. (2022). ”An improved search for the electric dipole moment of the τ lepton”, Journal of High Energy Physics, 2022 (4), -. DOI: 10.1007/JHEP04(2022)110
Liu, X., Lumsdaine, A., Halappanavar, M., Barker, K., Gebremedhin, A. (2022). ”Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis”, ACM Journal of Experimental Algorithmics, 27 (2), -. DOI: 10.1145/3564593
Guo, A., Geng, T., Zhang, Y., Haghi, P., Wu, C., Tan, C., Lin, Y., Li, A., Herbordt, M. (2022). ”A Framework for Neural Network Inference on FPGA-Centric SmartNICs”, Proceedings - 2022 32nd International Conference on Field-Programmable Logic and Applications, FPL 2022, - (-), 430-437. DOI: 10.1109/FPL57034.2022.00071
Ghosh, S., Tallent, N.R., Halappanavar, M. (2022). ”Characterizing Performance of Graph Neighborhood Communication Patterns”, IEEE Transactions on Parallel and Distributed Systems, 33 (4), 915-928. DOI: 10.1109/TPDS.2021.3101425
Mato, J., Tzeli, D., Xantheas, S.S. (2022). ”Publisher's Note: "The many-body expansion for metals. I. The alkaline earth metals Be, Mg, and Ca" (J. Chem. Phys. (2022) 157 (084313) DOI: 10.1063/5.0094598)”, Journal of Chemical Physics, 157 (12), -. DOI: 10.1063/5.0123916
Curzel, S., Jovic, S., Fiorito, M., Tumeo, A., Ferrandi, F. (2022). ”MLIR Loop Optimizations for High-Level Synthesis: a Case Study”, Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT, - (-), 544-545. DOI: 10.1145/3559009.3569688
Balusu, K., Li, L., Choi, K.S., Soulami, A. (2022). ”COUPLING SMOOTHED PARTICLE HYDRODYNAMICS WITH FINITE ELEMENT METHOD TO SIMULATE RESIDUAL STRESSES FROM FRICTION STIR PROCESSING”, ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 9 (-), -. DOI: 10.1115/IMECE2022-93695
O'Brien, T.E., Streif, M., Rubin, N.C., Santagati, R., Su, Y., Huggins, W.J., Goings, J.J., Moll, N., Kyoseva, E., Degroote, M., Tautermann, C.S., Lee, J., Berry, D.W., Wiebe, N., Babbush, R. (2022). ”Efficient quantum computation of molecular forces and other energy gradients”, Physical Review Research, 4 (4), -. DOI: 10.1103/PhysRevResearch.4.043210
Zhang, X., Gao, P., Wu, Z., Engelhard, M.H., Cao, X., Jia, H., Xu, Y., Liu, H., Wang, C., Liu, J., Zhang, J.-G., Liu, P., Xu, W. (2022). ”Pinned Electrode/Electrolyte Interphase and Its Formation Origin for Sulfurized Polyacrylonitrile Cathode in Stable Lithium Batteries”, ACS Applied Materials and Interfaces, 14 (46), 52046-52057. DOI: 10.1021/acsami.2c16890
Cortez, W.S., Dimarogonas, D.V. (2022). ”On Compatibility and Region of Attraction for Safe, Stabilizing Control Laws”, IEEE Transactions on Automatic Control, 67 (9), 4924-4931. DOI: 10.1109/TAC.2022.3168240
Fang, B., Hari, S.K.S., Tsai, T., Li, X., Gopalakrishnan, G., Laguna, I., Barker, K., Li, A. (2022). ”Towards Precision-Aware Fault Tolerance Approaches for Mixed-Precision Applications”, Proceedings of FTXS 2022: Workshop on Fault Tolerance for HPC at eXtreme Scale, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis, - (-), 47-52. DOI: 10.1109/FTXS56515.2022.00010
Schranz, T., Exenberger, J., Legaard, C.M., Drgoňa, J., Schweiger, G. (2022). ”Energy Prediction under Changed Demand Conditions: Robust Machine Learning Models and Input Feature Combinations”, Building Simulation Conference Proceedings, - (-), 3268-3275. DOI: 10.26868/25222708.2021.30806
Escobar, J., Gwalani, B., Olszta, M., Silverstein, J., Ajantiwalay, T., Overman, N., Fu, W., Li, Y., Bergmann, L., Maawad, E., Klusemann, B., dos Santos, J.F., Devaraj, A. (2022). ”Heterogenous activation of dynamic recrystallization and twinning during friction stir processing of a Cu-4Nb alloy”, Journal of Alloys and Compounds, 928 (-), -. DOI: 10.1016/j.jallcom.2022.167007
Ramirez-Tamayo, D., Soulami, A., Gupta, V., Restrepo, D., Montoya, A., Nickerson, E., Roosendaal, T., Simmons, K., Petrossian, G., Millwater, H. (2022). ”A complex-variable finite element method-based inverse methodology to extract constitutive parameters using experimental data”, International Journal of Solids and Structures, 243 (-), -. DOI: 10.1016/j.ijsolstr.2022.111545
Herman, K.M., Aprà, E., Xantheas, S.S. (2022). ”A critical comparison of CH⋯π versus π⋯π interactions in the benzene dimer: obtaining benchmarks at the CCSD(T) level and assessing the accuracy of lower scaling methods”, Physical Chemistry Chemical Physics, 25 (6), 4824-4838. https://10.1039/d2cp04335a
Stein, S., Mao, Y., Ang, J., Li, A. (2022). ”QuCNN: A Quantum Convolutional Neural Network with Entanglement Based Backpropagation”, Proceedings - 2022 IEEE/ACM 7th Symposium on Edge Computing, SEC 2022, - (-), 368-374. DOI: 10.1109/SEC54971.2022.00054
Tzeli, D., Xantheas, S.S. (2022). ”Erratum: Breaking covalent bonds in the context of the many-body expansion (MBE). I. The purported "first row anomaly" in XHn (X = C, Si, Ge, Sn; n = 1-4) (J. Chem. Phys. (2022) 156 (244303) DOI: 10.1063/5.0095329)”, Journal of Chemical Physics, 157 (12), -. DOI: 10.1063/5.0123913
Kepner, J., Aaltonen, P., Bader, D., Buluc, A., Franchetti, F., Gilbert, J., Hutchison, S., Kumar, M., Lumsdaine, A., Meyerhenke, H., McMillan, S., Moreira, J., Owens, J.D., Yang, C., Zalewski, M., Mattson, T.G. (2022). ”Introduction to GraphBLAS”, Massive Graph Analytics, - (-), 507-524. DOI: 10.1201/9781003033707-24
Meng, X., Yang, L., Mao, Z., del Águila Ferrandis, J., Karniadakis, G.E. (2022). ”Learning functional priors and posteriors from data and physics”, Journal of Computational Physics, 457 (-), -. DOI: 10.1016/j.jcp.2022.111073
Agostini, N.B., Curzel, S., Kaeli, D., Tumeo, A. (2022). ”SODA-OPT an MLIR based flow for co-design and high-level synthesis”, ACM International Conference Proceeding Series, - (-), 201-202. DOI: 10.1145/3528416.3530866
Guo, A., Geng, T., Zhang, Y., Haghi, P., Wu, C., Tan, C., Lin, Y., Li, A., Herbordt, M. (2022). ”FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks”, Proceedings - 2022 IEEE 30th International Symposium on Field-Programmable Custom Computing Machines, FCCM 2022, - (-), -. DOI: 10.1109/FCCM53951.2022.9786193
Ghosh, S. (2022). ”Improved Distributed-memory Triangle Counting by Exploiting the Graph Structure”, 2022 IEEE High Performance Extreme Computing Conference, HPEC 2022, - (-), -. DOI: 10.1109/HPEC55821.2022.9926376
Gulania, S., He, Z., Peng, B., Govind, N., Alexeev, Y. (2022). ”QuYBE - An Algebraic Compiler for Quantum Circuit Compression”, Proceedings - 2022 IEEE/ACM 7th Symposium on Edge Computing, SEC 2022, - (-), 406-410. DOI: 10.1109/SEC54971.2022.00060
Dos Reis, F.B., Reiman, A.P., Black, G.D. (2022). ”Distributed Multi-Area State Estimation for Distribution Systems”, IEEE Power and Energy Society General Meeting, 2022- (-), -. DOI: 10.1109/PESGM48719.2022.9917205
Keen, T., Peng, B., Kowalski, K., Lougovski, P., Johnston, S. (2022). ”Hybrid quantum-classical approach for coupled-cluster Green's function theory”, Quantum, 6 (-), -. DOI: 10.22331/Q-2022-03-30-675
Guo, L., Ashraf, R.A., Friese, R.D., Kestor, G. (2022). ”Towards Supporting Semiring in MLIR-based COMET Compiler”, Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT, - (-), 542-543. DOI: 10.1145/3559009.3569683
Chen, J.-A., Sung, H.-H., Shen, X., Tallent, N., Barker, K., Lit, A. (2022). ”Bit-GraphBLAS: Bit-Level Optimizations of Matrix-Centric Graph Processing on GPU”, Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium, IPDPS 2022, - (-), 515-525. DOI: 10.1109/IPDPS53621.2022.00056
Fang, B., Ozkaval, M.Y., Li, A., Catalyurek, U.V., Krishnamoorthy, S. (2022). ”Efficient Hierarchical State Vector Simulation of Quantum Circuits via Acyclic Graph Partitioning”, Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2022- (-), 289-300. DOI: 10.1109/CLUSTER51413.2022.00041
Poudel, S., Black, G.D., Reiman, A.P. (2022). ”Validation of Power Distribution Models using Load Flow Analysis in an ADMS Environment”, IEEE Power and Energy Society General Meeting, 2022- (-), -. DOI: 10.1109/PESGM48719.2022.9917168
Roggero, A., Filipek, J., Hsu, S.-C., Wiebe, N. (2022). ”Quantum Machine Learning with SQUID”, Quantum, 6 (-), -. DOI: 10.22331/Q-2022-05-30-727
Curzel, S., Agostini, N.B., Tumeo, A., Ferrandi, F. (2022). ”Hardware acceleration of complex machine learning models through modern high-level synthesis”, ACM International Conference Proceeding Series, - (-), 209-210. DOI: 10.1145/3528416.3530870
Shah, M., Neff, R., Wu, H., Minutoli, M., Tumeo, A., Becchi, M. (2022). ”Accelerating Random Forest Classification on GPU and FPGA”, ACM International Conference Proceeding Series, - (-), -. DOI: 10.1145/3545008.3545067
Ren, H., Cromwell, E., Kravitz, B., Chen, X. (2022). ”Technical note: Using long short-term memory models to fill data gaps in hydrological monitoring networks”, Hydrology and Earth System Sciences, 26 (7), 1727-1743. DOI: 10.5194/hess-26-1727-2022
Clyde, A., Galanie, S., Kneller, D.W., Ma, H., Babuji, Y., Blaiszik, B., Brace, A., Brettin, T., Chard, K., Chard, R., Coates, L., Foster, I., Hauner, D., Kertesz, V., Kumar, N., Lee, H., Li, Z., Merzky, A., Schmidt, J.G., Tan, L., Titov, M., Trifan, A., Turilli, M., Van Dam, H., Chennubhotla, S.C., Jha, S., Kovalevsky, A., Ramanathan, A., Head, M.S., Stevens, R. (2022). ”High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor”, Journal of Chemical Information and Modeling, 62 (1), 116-128. DOI: 10.1021/acs.jcim.1c00851
Zeng, C., Kim, S., Chen, Y., Fu, Y., Bao, J., Xu, Z., Wang, W. (2022). ”Characterization of Electrochemical Behavior for Aqueous Organic Redox Flow Batteries”, Journal of the Electrochemical Society, 169 (12), -. DOI: 10.1149/1945-7111/acadad
Jia, H., Xu, Y., Zou, L., Gao, P., Zhang, X., Taing, B., Matthews, B.E., Engelhard, M.H., Burton, S.D., Han, K.S., Zhong, L., Wang, C., Xu, W. (2022). ”Sulfone-based electrolytes for high energy density lithium-ion batteries”, Journal of Power Sources, 527 (-), -. DOI: 10.1016/j.jpowsour.2022.231171
Kestor, G., Emani, M., Li, D. (2022). ”Message from the AI4S22 Workshop Chairs”, Proceedings of AI4S 2022: Artificial Intelligence and Machine Learning for Scientific Applications, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis, - (-), -. DOI: 10.1109/AI4S56813.2022.00004
Vasisht, S., Rahman, A., Ramachandran, T., Bhattacharya, A., Adetola, V. (2022). ”Multi-fidelity Bayesian Optimization for Co-design of Resilient Cyber-Physical Systems”, Proceedings - 13th ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2022, - (-), 298-299. DOI: 10.1109/ICCPS54341.2022.00040
Stetina, T.F., Ciavarella, A., Li, X., Wiebe, N. (2022). ”Simulating Effective QED on Quantum Computers”, Quantum, 6 (-), -. DOI: 10.22331/Q-2022-01-18-622
Bohm Agostini, N., Curzel, S., Zhang, J., Limaye, A., Tan, C., Amatya, V., Minutoli, M., Castellana, V.G., Manzano, J., Brooks, D., Wei, G., Tumeo, A. (2022). ”Bridging Python to Silicon: The SODA Toolchain”, IEEE Micro, - (-), 1-1. DOI: 10.1109/MM.2022.3178580
Sathanur, A., Tallent, N.R., Konsor, P., Koyanagi, K., McLaughlin, R., Olivas, J., Chynoweth, M. (2022). ”QuaL2M: Learning Quantitative Performance of Latency-Sensitive Code”, Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2022, - (-), 913-923. DOI: 10.1109/IPDPSW55747.2022.00149
Fu, Y., Frazier, W.E., Choi, K.S., Li, L., Xu, Z., Joshi, V.V., Soulami, A. (2022). ”Prediction of grain structure after thermomechanical processing of U-10Mo alloy using sensitivity analysis and machine learning surrogate model”, Scientific Reports, 12 (1), -. DOI: 10.1038/s41598-022-14731-8
Mukherjee, S., Nandanoori, S.P., Guan, S., Agarwal, K., Sinha, S., Kundu, S., Pal, S., Wu, Y., Vrabie, D.L., Choudhury, S. (2022). ”Learning Distributed Geometric Koopman Operator for Sparse Networked Dynamical Systems”, Proceedings of Machine Learning Research, 198 (-), -. https://proceedings.mlr.press/v198/mukherjee22a.html
Kulkarni, S.S., Truster, T., Senor, D.J., Devanathan, R. (2022). ”A crystal plasticity finite element method modeling of zircaloy with hydride phases based on scanning electron micrographs”, Proceedings of ASME 2022 17th International Manufacturing Science and Engineering Conference, MSEC 2022, 2 (-), -. DOI: 10.1115/MSEC2022-80224
Li, J., Tartakovsky, A.M. (2022). ”Physics-informed Karhunen-Loéve and neural network approximations for solving inverse differential equation problems”, Journal of Computational Physics, 462 (-), -. DOI: 10.1016/j.jcp.2022.111230
Mutlu, E., Tian, R., Ren, B., Krishnamoorthy, S., Gioiosa, R., Pienaar, J., Kestor, G. (2022). ”COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13149 (-), 87-103. DOI: 10.1007/978-3-030-95953-1_7
Ganguly, A.R., van Breukelen, B.M., Evers, M., Hendricks Franssen, H.-J., Illangasekare, T., Kumar, P., Steefel, C., Taylor, R.G. (2022). ”Editorial: Frontiers in water: Rising stars 2021”, Frontiers in Water, 4 (-), -. DOI: 10.3389/frwa.2022.1033848
Chikkagoudar, S., Chatterjee, S., Bharadwaj, R., Ganguly, A., Kompella, S., Thorsen, D. (2022). ”Assurance by Design for Cyber-physical Data-driven Systems”, IoT for Defense and National Security, - (-), 191-212. DOI: 10.1002/9781119892199.ch11
Huggins, W.J., Wan, K., McClean, J., O'Brien, T.E., Wiebe, N., Babbush, R. (2022). ”Nearly Optimal Quantum Algorithm for Estimating Multiple Expectation Values”, Physical Review Letters, 129 (24), -. DOI: 10.1103/PhysRevLett.129.240501
Fu, Y., Bao, J., Singh, R.K., Zheng, R.F., Anderson-Cook, C.M., Bhat, K.S., Xu, Z. (2022). ”The influence of random packed column parameters on the liquid holdup and interfacial area”, AIChE Journal, 68 (8), -. DOI: 10.1002/aic.17691
Mato, J., Tzeli, D., Xantheas, S.S. (2022). ”The many-body expansion for metals. I. The alkaline earth metals Be, Mg, and Ca”, Journal of Chemical Physics, 157 (8), -. DOI: 10.1063/5.0094598
Pang, T., Savinov, V., Adachi, I., Aihara, H., Asner, D.M., Atmacan, H., Aulchenko, V., Aushev, T., Ayad, R., Babu, V., Behera, P., Belous, K., Bessner, M., Bhardwaj, V., Bhuyan, B., Bilka, T., Bobrov, A., Bodrov, D., Bonvicini, G., Borah, J., Bozek, A., Bračko, M., Branchini, P., Browder, T.E., Budano, A., Campajola, M., Červenkov, D., Chang, P., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., De Pietro, G., Dhamija, R., Di Capua, F., Dingfelder, J., DoleŽal, Z., Dong, T.V., Dossett, D., Dubey, S., Epifanov, D., Ferber, T., Frey, A., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Giri, A., Goldenzweig, P., Graziani, E., Gu, T., Gudkova, K., Hadjivasiliou, C., Halder, S., Hayasaka, K., Hayashii, H., Hedges, M.T., Hsu, C.-L., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jang, E.-J., Jia, S., Jin, Y., Joo, K.K., Kahn, J., Kalita, D., Kaliyar, A.B., Kang, K.H., Karyan, G., Kawasaki, T., Kiesling, C., Kim, C.H., Kim, D.Y., Kim, K.-H., Kim, Y.-K., Kinoshita, K., Kodyš, P., Konno, T., Korobov, A., Korpar, S., Kovalenko, E., KriŽan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kumar, R., Kumara, K., Kuzmin, A., Kwon, Y.-J., Lai, Y.-T., Lam, T., Lange, J.S., Lee, S.C., Li, C.H., Li, J., Li, L.K., Li, Y., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Martini, A., Masuda, M., Matsuda, T., Matvienko, D., Meier, F., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mussa, R., Nakao, M., Natkaniec, Z., Natochii, A., Nayak, L., Niiyama, M., Nisar, N.K., Nishida, S., Ogawa, K., Ogawa, S., Ono, H., Oskin, P., Pakhlov, P., Pakhlova, G., Pardi, S., Park, H., Park, S.-H., Passeri, A., Patra, S., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Schnell, G., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shen, C.P., Shiu, J.-G., Simon, F., Singh, J.B., Sokolov, A., Solovieva, E., Stanič, S., Starič, M., Strube, J.F., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Taniguchi, N., Tenchini, F., Trabelsi, K., Uchida, M., Uno, K., Uno, S., Urquijo, P., Van Tonder, R., Varner, G., Vinokurova, A., Waheed, E., Wang, E., Wang, M.-Z., Wang, X.L., Watanabe, M., Watanuki, S., Won, E., Xu, X., Yabsley, B.D., Yan, W., Ye, H., Yelton, J., Yin, J.H., Yuan, C.Z., Zhai, Y., Zhang, Z.P., Zhilich, V., Zhukova, V. (2022). ”Search for the decay B0s→η′K0S”, Physical Review D, 106 (5), -. DOI: 10.1103/PhysRevD.106.L051103
Li, Z., Menon, H., Mohror, K., Liu, S., Guo, L., Bremer, P., Pascucci, V. (2022). ”A Visual Comparison of Silent Error Propagation”, IEEE Transactions on Visualization and Computer Graphics, - (-), 1-15. DOI: 10.1109/TVCG.2022.3230636
Curzel, S., Agostini, N.B., Castellana, V.G., Minutoli, M., Limaye, A., Manzano, J., Zhang, J., Brooks, D., Wei, G.-Y., Ferrandi, F., Tumeo, A. (2022). ”End-to-End Synthesis of Dynamically Controlled Machine Learning Accelerators”, IEEE Transactions on Computers, 71 (12), 3074-3087. DOI: 10.1109/TC.2022.3211430
Vila, F.D., Kowalski, K., Peng, B., Kas, J.J., Rehr, J.J. (2022). ”Real-Time Equation-of-Motion CCSD Cumulant Green's Function”, Journal of Chemical Theory and Computation, 18 (3), 1799-1807. DOI: 10.1021/acs.jctc.1c01179
Herman, K.M., Stone, A.J., Xantheas, S.S. (2022). ”A classical model for three-body interactions in aqueous ionic systems”, Journal of Chemical Physics, 157 (2), -. DOI: 10.1063/5.0095739
Ashtari Esfahani, A., Bogorad, Z., Böser, S., Buzinsky, N., Claessens, C., De Viveiros, L., Fertl, M., Formaggio, J.A., Gladstone, L., Grando, M., Guigue, M., Hartse, J., Heeger, K.M., Huyan, X., Johnston, J., Jones, A.M., Kazkaz, K., Laroque, B.H., Li, M., Lindman, A., Matthé, C., Mohiuddin, R., Monreal, B., Nikkel, J.A., Novitski, E., Oblath, N.S., Peña, J.I., Pettus, W., Reimann, R., Robertson, R.G.H., Rybka, G., Saldaña, L., Schram, M., Slocum, P.L., Stachurska, J., Sun, Y.-H., Surukuchi, P.T., Telles, A.B., Thomas, F., Thomas, M., Thümmler, T., Tvrznikova, L., Van De Pontseele, W., Vandevender, B.A., Weiss, T.E., Wendler, T., Zayas, E., Ziegler, A. (2022). ”Viterbi decoding of CRES signals in Project 8”, New Journal of Physics, 24 (5), -. DOI: 10.1088/1367-2630/ac66f6
Vila, F.D., Rehr, J.J., Pathak, H., Peng, B., Panyala, A., Mutlu, E., Bauman, N.P., Kowalski, K. (2022). ”Real-time equation-of-motion CC cumulant and CC Green's function simulations of photoemission spectra of water and water dimer”, Journal of Chemical Physics, 157 (4), -. DOI: 10.1063/5.0099192
Dong, B., Markovic, R., Carlucci, S., Liu, Y., Wagner, A., Liguori, A., van Treeck, C., Oleynikov, D., Azar, E., Fajilla, G., Drgoňa, J., Kim, J., Vellei, M., De Simone, M., Shamsaiee, M., Bavaresco, M., Favero, M., Kjaergaard, M., Osman, M., Frahm, M., Dabirian, S., Yan, D., Kang, X. (2022). ”A guideline to document occupant behavior models for advanced building controls”, Building and Environment, 219 (-), -. DOI: 10.1016/j.buildenv.2022.109195
Stein, S., Wiebe, N., Ding, Y., Bo, P., Kowalski, K., Baker, N., Ang, J., Li, A. (2022). ”EQC: Ensembled Qantum Computing for Variational Qantum Algorithms”, Proceedings - International Symposium on Computer Architecture, - (-), 59-71. DOI: 10.1145/3470496.3527434
Baheri, B., Xu, Z., Chaudhary, V., Mao, Y., Fang, B., Xu, S., Guan, Q. (2022). ”Pinpointing the System Reliability Degradation in NISQ Machines”, Proceedings - 2022 IEEE International Conference on Quantum Computing and Engineering, QCE 2022, - (-), 646-652. DOI: 10.1109/QCE53715.2022.00087
Rahman, A., Drgona, J., Tuor, A., Strube, J. (2022). ”Neural Ordinary Differential Equations for Nonlinear System Identification”, Proceedings of the American Control Conference, 2022- (-), 3979-3984. DOI: 10.23919/ACC53348.2022.9867586
Applencourt, T., Bagusetty, A., Panyala, A., Alpay, A. (2022). ”SYCL Concurrency on GPU Platforms: Empirical Measurement”, ACM International Conference Proceeding Series, - (-), -. DOI: 10.1145/3529538.3529989
Mudunuru, M.K., Cromwell, E.L.D., Wang, H., Chen, X. (2022). ”Deep learning to estimate permeability using geophysical data”, Advances in Water Resources, 167 (-), -. DOI: 10.1016/j.advwatres.2022.104272
He, Q., Stinis, P., Tartakovsky, A.M. (2022). ”Physics-constrained deep neural network method for estimating parameters in a redox flow battery”, Journal of Power Sources, 528 (-), -. DOI: 10.1016/j.jpowsour.2022.231147
Mukherjee, S., Drgona, J., Tuor, A., Halappanavar, M., Vrabie, D. (2022). ”Neural Lyapunov Differentiable Predictive Control”, Proceedings of the IEEE Conference on Decision and Control, 2022- (-), 2097-2104. DOI: 10.1109/CDC51059.2022.9992386
Suetterlein, J., Manzano, J., Marquez, A., Gao, G.R. (2022). ”Extending an asynchronous runtime system for high throughput applications: A case study”, Journal of Parallel and Distributed Computing, 163 (-), 214-231. DOI: 10.1016/j.jpdc.2022.01.027
Bielich, D., Langou, J., Thomas, S., Świrydowicz, K., Yamazaki, I., Boman, E.G. (2022). ”Low-synch Gram–Schmidt with delayed reorthogonalization for Krylov solvers”, Parallel Computing, 112 (-), -. DOI: 10.1016/j.parco.2022.102940
Chen, Y., Lerond, J., Lei, X., Rosenberg, M., Vrabie, D. (2022). ”A Knowledge-based Framework for Building Energy Model Performance Verification”, Building Simulation Conference Proceedings, - (-), 1943-1950. DOI: 10.26868/25222708.2021.30725
Bloomfield, T., Sevior, M.E., Adachi, I., Aihara, H., Al Said, S., Asner, D.M., Aulchenko, V., Aushev, T., Ayad, R., Babu, V., Bahinipati, S., Behera, P., Bennett, J., Bessner, M., Bilka, T., Biswal, J., Bobrov, A., Bonvicini, G., Bozek, A., Bračko, M., Browder, T.E., Campajola, M., Cao, L., Červenkov, D., Chang, M.-C., Chekelian, V., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., Dash, N., De Nardo, G., Dhamija, R., Di Capua, F., DoleŽal, Z., Dong, T.V., Dubey, S., Eidelman, S., Epifanov, D., Ferber, T., Ferlewicz, D., Fulsom, B.G., Garg, R., Gaur, V., Garmash, A., Giri, A., Goldenzweig, P., Hadjivasiliou, C., Halder, S., Hartbrich, O., Hayasaka, K., Hayashii, H., Hedges, M.T., Hernandez Villanueva, M., Hou, W.-S., Hsu, C.-L., Iijima, T., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jang, E.-J., Jia, S., Jin, Y., Joo, C.W., Joo, K.K., Kaliyar, A.B., Kang, K.H., Karyan, G., Kawasaki, T., Kim, C.H., Kim, D.Y., Kim, H.J., Kim, S.H., Kim, Y.-K., Kimmel, T.D., Kodyš, P., Konno, T., Korobov, A., Korpar, S., Kovalenko, E., KriŽan, P., Kroeger, R., Krokovny, P., Kumar, M., Kumar, R., Kumara, K., Kwon, Y.-J., Lalwani, K., Lange, J.S., Lee, I.S., Lee, S.C., Li, C.H., Li, J., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Luo, T., Macqueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mohanty, S., Moon, H.K., Mussa, R., Nakao, M., Natkaniec, Z., Natochii, A., Nayak, L., Nayak, M., Niiyama, M., Nisar, N.K., Nishida, S., Ono, H., Onuki, Y., Oskin, P., Pakhlov, P., Pakhlova, G., Pardi, S., Park, H., Park, S.-H., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Ritter, M., Rostomyan, A., Rout, N., Rozanska, M., Russo, G., Sahoo, D., Sakai, Y., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schueler, J., Schwanda, C., Schwartz, A.J., Seino, Y., Senyo, K., Shapkin, M., Sharma, C., Shen, C.P., Shiu, J.-G., Shwartz, B., Simon, F., Sokolov, A., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumihama, M., Sumisawa, K., Sumiyoshi, T., Sutcliffe, W., Takizawa, M., Tanida, K., Tao, Y., Tenchini, F., Trabelsi, K., Uchida, M., Uno, K., Uno, S., Usov, Y., Vahsen, S.E., Van Tonder, R., Varner, G., Varvell, K.E., Vossen, A., Waheed, E., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Watanabe, M., Watanuki, S., Werbycka, O., Wiechczynski, J., Won, E., Xu, X., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yin, J.H., Yuan, C.Z., Zhang, Z.P., Zhilich, V., Zhukova, V., Zhulanov, V. (2022). ”Measurement of the branching fraction and CP asymmetry for B → D ¯ 0π decays”, Physical Review D, 105 (7), -. DOI: 10.1103/PhysRevD.105.072007
Jian, G., Sarathi, R.S., Burghardt, J., Bonneville, A., Gupta, V., Fernandez, C.A., Garrison, G. (2022). ”Erratum to ‘Evaluation of a Greener Fracturing Fluid for Geothermal Energy Recovery: An Experimental and Simulation Study’ [Geothermics 97 (2021) 102266](S0375650521002236)(10.1016/j.geothermics.2021.102266)”, Geothermics, 102 (-), -. DOI: 10.1016/j.geothermics.2022.102383
Anderson, A.A., Podmore, R., Sharma, P., Reiman, A.P., Jinsiwale, R.A., Allwardt, C.H., Black, G.D. (2022). ”Distributed Application Architecture and LinkNet Topology Processor for Distribution Networks Using the Common Information Model”, IEEE Access, 10 (-), 120765-120780. DOI: 10.1109/ACCESS.2022.3221132
Duffy, K., Gouhier, T.C., Ganguly, A.R. (2022). ”Climate-mediated shifts in temperature fluctuations promote extinction risk”, Nature Climate Change, 12 (11), 1037-1044. DOI: 10.1038/s41558-022-01490-7
Wang, B., Kinoshita, K., Aihara, H., Asner, D.M., Aushev, T., Ayad, R., Babu, V., Badhrees, I., Bakich, A.M., Behera, P., Beleño, C., Bennett, J., Bessner, M., Bhardwaj, V., Bilka, T., Biswal, J., Bobrov, A., Bonvicini, G., Bozek, A., Bračko, M., Browder, T.E., Campajola, M., Cao, L., Červenkov, D., Chen, A., Chilikin, K., Cho, H.E., Cho, K., Choi, S.-K., Choi, Y., Cinabro, D., Cunliffe, S., Dash, N., Di Capua, F., Di Carlo, S., DoleŽal, Z., Eidelman, S., Epifanov, D., Fast, J.E., Ferber, T., Fulsom, B.G., Garg, R., Gaur, V., Garmash, A., Giri, A., Goldenzweig, P., Guan, Y., Hayasaka, K., Hayashii, H., Hou, W.-S., Inami, K., Ishikawa, A., Iwasaki, M., Iwasaki, Y., Jia, S., Jin, Y., Joffe, D., Joo, K.K., Kaliyar, A.B., Kang, K.H., Karyan, G., Kiesling, C., Kim, D.Y., Kim, K.T., Kim, S.H., Kodyš, P., Korpar, S., Kotchetkov, D., KriŽan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kuzmin, A., Kwon, Y.-J., Lange, J.S., Lee, I.S., Lee, J.Y., Lee, S.C., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Luo, T., Macnaughton, J., Macqueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mussa, R., Nakao, M., Nath, K.J., Nayak, M., Nisar, N.K., Nishida, S., Nishimura, K., Ogawa, S., Ono, H., Onuki, Y., Pakhlova, G., Pal, B., Pang, T., Pardi, S., Park, H., Park, S.-H., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Popov, V., Prencipe, E., Prim, M., Ritter, M., Rostomyan, A., Russo, G., Sandilya, S., Santelj, L., Sanuki, T., Savinov, V., Schneider, O., Schnell, G., Schwanda, C., Schwartz, A.J., Seino, Y., Senyo, K., Sevior, M.E., Shebalin, V., Shiu, J.-G., Sokolov, A., Solovieva, E., Starič, M., Strube, J.F., Sumiyoshi, T., Takizawa, M., Tanida, K., Tenchini, F., Uglov, T., Uno, S., Usov, Y., Van Tonder, R., Varner, G., Vinokurova, A., Waheed, E., Wang, C.H., Wang, M.-Z., Wang, P., Werbycka, O., Won, E., Yang, S.B., Ye, H., Yusa, Y., Zhang, Z.P., Zhilich, V., Zhukova, V., Zhulanov, V. (2022). ”Measurement of B (Bs →dsX) with Bs semileptonic tagging”, Physical Review D, 105 (1), -. DOI: 10.1103/PhysRevD.105.012004
Tumeo, A. (2022). ”Message from theWorkshop and Special Session Chair”, ACM International Conference Proceeding Series, - (-), -. https://-
Subasi, O., Purohit, S., Bhattacharya, A., Chatterjee, S. (2022). ”Impact-Driven Sampling Strategies for Hybrid Attack Graphs”, 2022 IEEE International Symposium on Technologies for Homeland Security, HST 2022, - (-), -. DOI: 10.1109/HST56032.2022.10025439
Tumeo, A., Agostini, N.B., Curzel, S., Limaye, A., Tan, C., Amatya, V., Minutoli, M., Castellana, V.G., Li, A., Manzano, J. (2022). ”SO(DA)2: End-to-end Generation of Specialized Reconfigurable Architectures”, OpenAccess Series in Informatics, 100 (-), -. DOI: 10.4230/OASIcs.PARMA-DITAM.2022.1
King, E., Drgona, J., Tuor, A., Abhyankar, S., Bakker, C., Bhattacharya, A., Vrabie, D. (2022). ”Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem”, Proceedings of the American Control Conference, 2022- (-), 2194-2201. DOI: 10.23919/ACC53348.2022.9867379
Ghosh, S., Grant, R.E., Si, M. (2022). ”Special Issue on Hot Interconnects”, IEEE Micro, 42 (2), 35-36. DOI: 10.1109/MM.2022.3151214
Peng, H., Huang, S., Chen, S., Li, B., Geng, T., Li, A., Jiang, W., Wen, W., Bi, J., Liu, H., Ding, C. (2022). ”A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining”, Proceedings - Design Automation Conference, - (-), 1135-1140. DOI: 10.1145/3489517.3530585
Baheri, B., Tronge, J., Fang, B., Li, A., Chaudhary, V., Guan, Q. (2022). ”MARS: Malleable Actor-Critic Reinforcement Learning Scheduler”, Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference, 2022- (-), 217-226. DOI: 10.1109/IPCCC55026.2022.9894315
Frazier, W.E., Li, L., Gwalani, B., Silverstein, J., Devaraj, A., Soulami, A., Sushko, P.V. (2022). ”An Approach for the Microstructure-Sensitive Simulation of Shear-Induced Deformation and Recrystallization in Al–Si Alloys”, Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 53 (4), 1450-1461. DOI: 10.1007/s11661-022-06606-4
Drgoňa, J., Kiš, K., Tuor, A., Vrabie, D., Klaučo, M. (2022). ”Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems”, Journal of Process Control, 116 (-), 80-92. https://10.1016/j.jprocont.2022.06.001
Anderson, A., Barr, J., Sharma, P., Allwardt, C., Vadari, S., Dubey, A. (2022). ”Real-time Distribution Simulation and Application Development for Power Systems Education”, IEEE Power and Energy Society General Meeting, 2022- (-), -. DOI: 10.1109/PESGM48719.2022.9917004
Edmonds, N., Lumsdaine, A. (2022). ”The Parallel Boost Graph Library 2.0 Active Messages as a Spanning Model for Parallel Graph Computation”, Massive Graph Analytics, - (-), 459-481. DOI: 10.1201/9781003033707-21
Sun, J., Yang, L., Zhang, J., Liu, F., Halappanavar, M., Fan, D., Cao, Y. (2022). ”Self-supervised Novelty Detection for Continual Learning: A Gradient-Based Approach Boosted by Binary Classification”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13418 (-), 118-133. DOI: 10.1007/978-3-031-17587-9_9
Flynn, B., Gentile, A.A., Wiebe, N., Santagati, R., Laing, A. (2022). ”Quantum model learning agent: Characterisation of quantum systems through machine learning”, New Journal of Physics, 24 (5), -. DOI: 10.1088/1367-2630/ac68ff
Liu, X.T., Firoz, J., Aksoy, S., Amburg, I., Lumsdaine, A., Joslyn, C., Praggastis, B., Gebremedhin, A.H. (2022). ”High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis”, Proceedings - 2022 IEEE 36th International Parallel and Distributed Processing Symposium, IPDPS 2022, - (-), 784-794. DOI: 10.1109/IPDPS53621.2022.00081
Das, S.S., Halappanavar, M., Tumeo, A., Serra, E., Pothen, A., Al-Shaer, E. (2022). ”VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators”, Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, - (-), 1224-1229. DOI: 10.1109/BigData55660.2022.10020622
Bagusetty, A., Panyala, A., Brown, G., Kirk, J. (2022). ”Towards Cross-Platform Portability of Coupled-Cluster Methods with Perturbative Triples using SYCL”, Proceedings of P3HPC 2022: 2022 International Workshop on Performance, Portability and Productivity in HPC, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis, - (-), 81-88. DOI: 10.1109/P3HPC56579.2022.00013
Zhou, T., Tian, R., Ashraf, R.A., Gioiosa, R., Kestor, G., Sarkar, V. (2022). ”ReACT: Redundancy-Aware Code Generation for Tensor Expressions”, Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT, - (-), 1-13. DOI: 10.1145/3559009.3569685
Li, L., Gupta, V., Li, X., Reynolds, A.P., Grant, G., Soulami, A. (2022). ”Meshfree simulation and experimental validation of extreme thermomechanical conditions in friction stir extrusion”, Computational Particle Mechanics, 9 (4), 789-809. DOI: 10.1007/s40571-021-00445-7
Sinha, S., Nandanoori, S.P., Drgona, J., Vrabie, D. (2022). ”Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach”, 2022 European Control Conference, ECC 2022, - (-), 552-559. DOI: 10.23919/ECC55457.2022.9837986
Jin, Y., Le, P.M.L., Gao, P., Xu, Y., Xiao, B., Engelhard, M.H., Cao, X., Vo, T.D., Hu, J., Zhong, L., Matthews, B.E., Yi, R., Wang, C., Li, X., Liu, J., Zhang, J.-G. (2022). ”Low-solvation electrolytes for high-voltage sodium-ion batteries”, Nature Energy, 7 (8), 718-725. DOI: 10.1038/s41560-022-01055-0
Kang, C., Bauman, N.P., Krishnamoorthy, S., Kowalski, K. (2022). ”Optimized Quantum Phase Estimation for Simulating Electronic States in Various Energy Regimes”, Journal of Chemical Theory and Computation, 18 (11), 6567-6576. DOI: 10.1021/acs.jctc.2c00577
Feng, S., Singh, R.K., Fu, Y., Li, Z., Wang, Y., Bao, J., Xu, Z., Li, G., Anderson, C., Shi, L., Lin, Y., Khalifah, P.G., Wang, W., Liu, J., Xiao, J., Lu, D. (2022). ”Low-tortuous and dense single-particle-layer electrode for high-energy lithium-sulfur batteries”, Energy and Environmental Science, 15 (9), 3842-3853. DOI: 10.1039/d2ee01442d
Sambaturu, P., Minutoli, M., Halappanavar, M., Kalyanaraman, A., Vullikanti, A. (2022). ”Scalable and Memory-Efficient Algorithms for Controlling Networked Epidemic Processes Using Multiplicative Weights Update Method”, IJCAI International Joint Conference on Artificial Intelligence, - (-), 5164-5170. DOI: 10.24963/ijcai.2022/717
Huang, R., Chen, Y., Yin, T., Li, X., Li, A., Tan, J., Yu, W., Liu, Y., Huang, Q. (2022). ”Accelerated Derivative-Free Deep Reinforcement Learning for Large-Scale Grid Emergency Voltage Control”, IEEE Transactions on Power Systems, 37 (1), 14-25. DOI: 10.1109/TPWRS.2021.3095179
Jain, M., Ghosh, S., Nandanoori, S.P. (2022). ”Workload characterization of a time-series prediction system for spatio-temporal data”, ACM International Conference Proceeding Series, - (-), 159-168. DOI: 10.1145/3528416.3530242
Kilic, O.O., Tallent, N.R., Suriyakumar, Y., Xie, C., Marquez, A., Eranian, S. (2022). ”MemGaze: Rapid and Effective Load-Level Memory Trace Analysis”, Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2022- (-), 484-495. DOI: 10.1109/CLUSTER51413.2022.00058
Chen, X., Minutoli, M., Tian, J., Halappanavar, M., Kalyanaraman, A., Tao, D. (2022). ”HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures”, Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT, - (-), 412-425. DOI: 10.1145/3559009.3569647
Rahman, A., Bhattacharya, A., Ramachandran, T., Mukherjee, S., Sharma, H., Fujimoto, T., Chatterjee, S. (2022). ”AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning”, 2022 IEEE International Symposium on Technologies for Homeland Security, HST 2022, - (-), -. DOI: 10.1109/HST56032.2022.10025434
2021
Jia, H., Zhang, X., Xu, Y., Zou, L., Kim, J.-M., Gao, P., Engelhard, M.H., Li, Q., Niu, C., Matthews, B.E., Lemmon, T.L., Hu, J., Wang, C., Xu, W. (2021). ”Toward the Practical Use of Cobalt-Free Lithium-Ion Batteries by an Advanced Ether-Based Electrolyte”, ACS Applied Materials and Interfaces, 13 (37), 44339-44347. DOI: 10.1021/acsami.1c12072
Yang, X., Tartakovsky, G., Tartakovsky, A.M. (2021). ”PHYSICS INFORMATION AIDED KRIGING USING STOCHASTIC SIMULATION MODELS”, SIAM Journal on Scientific Computing, 43 (6), A3862-A3891. DOI: 10.1137/20M1331585
Mohanty, S., Kaliyar, A.B., Gaur, V., Mohanty, G.B., Adachi, I., Adamczyk, K., Aihara, H., Al Said, S., Asner, D.M., Atmacan, H., Aulchenko, V., Aushev, T., Aziz, T., Babu, V., Bahinipati, S., Behera, P., Bessner, M., Bhardwaj, V., Bilka, T., Biswal, J., Bobrov, A., Bozek, A., Bračko, M., Browder, T.E., Campajola, M., Červenkov, D., Chekelian, V., Chen, A., Cheon, B.G., Chilikin, K., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., Dash, N., De Nardo, G., Dhamija, R., Di Capua, F., DoleŽal, Z., Dong, T.V., Eidelman, S., Ferber, T., Fulsom, B.G., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Golob, B., Grzymkowska, O., Guan, Y., Gudkova, K., Hadjivasiliou, C., Halder, S., Hayasaka, K., Hayashii, H., Hou, W.-S., Hsu, C.-L., Inami, K., Ishikawa, A., Itoh, R., Iwasaki, M., Jacobs, W.W., Jeon, H.B., Jia, S., Jin, Y., Joo, K.K., Kang, K.H., Karyan, G., Kim, B.H., Kim, C.H., Kim, D.Y., Kim, S.H., Kim, Y.-K., Kinoshita, K., Kodyš, P., Konno, T., Korpar, S., Kotchetkov, D., KriŽan, P., Krokovny, P., Kulasiri, R., Kumar, M., Kumar, R., Kumara, K., Kwon, Y.-J., Lalwani, K., Lee, S.C., Li, J., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Liptak, Z., Liventsev, D., MacQueen, C., Masuda, M., Matsuda, T., Merola, M., Miyabayashi, K., Mizuk, R., Moon, T.J., Mussa, R., Nakao, M., Natochii, A., Nayak, L., Nayak, M., Nisar, N.K., Nishida, S., Ogawa, K., Ogawa, S., Onuki, Y., Oskin, P., Pakhlova, G., Pardi, S., Park, C.W., Park, H., Park, S.-H., Patra, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sakai, Y., Sandilya, S., Sangal, A., Sanuki, T., Savinov, V., Schnell, G., Schueler, J., Schwanda, C., Schwartz, A.J., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shiu, J.-G., Shwartz, B., Simon, F., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumiyoshi, T., Takizawa, M., Tanida, K., Tao, Y., Tenchini, F., Uchida, M., Unno, Y., Uno, S., Usov, Y., Vahsen, S.E., Van Tonder, R., Varner, G., Varvell, K.E., Vinokurova, A., Vorobyev, V., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Wang, X.L., Watanuki, S., Wiechczynski, J., Won, E., Xu, X., Yabsley, B.D., Yan, W., Ye, H., Yin, J.H., Zhang, Z.P., Zhilich, V., Zhukova, V. (2021). ”Measurement of branching fraction and search for CP violation in B →φφK”, Physical Review D, 103 (5), -. DOI: 10.1103/PhysRevD.103.052013
Sakr, S., Bonifati, A., Voigt, H., Iosup, A., Ammar, K., Angles, R., Aref, W., Arenas, M., Besta, M., Boncz, P.A., Daudjee, K., Valle, E.D., Dumbrava, S., Hartig, O., Haslhofer, B., Hegeman, T., Hidders, J., Hose, K., Iamnitchi, A., Kalavri, V., Kapp, H., Martens, W., Özsu, M.T., Peukert, E., Plantikow, S., Ragab, M., Ripeanu, M.R., Salihoglu, S., Schulz, C., Selmer, P., Sequeda, J.F., Shinavier, J., Szárnyas, G., Tommasini, R., Tumeo, A., Uta, A., Varbanescu, A.L., Wu, H.-Y., Yakovets, N., Yan, D., Yoneki, E. (2021). ”The future is big graphs”, Communications of the ACM, 64 (9), 62-71. DOI: 10.1145/3434642
Bhattacharya, A., Vasisht, S., Adetola, V., Huang, S., Sharma, H., Vrabie, D.L. (2021). ”Control co-design of commercial building chiller plant using Bayesian optimization”, Energy and Buildings, 246 (-), -. DOI: 10.1016/j.enbuild.2021.111077
Wang, T., Li, L., Pallaka, M.R., Das, H., Whalen, S., Soulami, A., Upadhyay, P., Kappagantula, K.S. (2021). ”Mechanical and microstructural characterization of AZ31 magnesium‑carbon fiber reinforced polymer joint obtained by friction stir interlocking technique”, Materials and Design, 198 (-), -. DOI: 10.1016/j.matdes.2020.109305
Cupeiro Figueroa, I., Cimmino, M., Drgoňa, J., Helsen, L. (2021). ”Fluid temperature predictions of geothermal borefields using load estimations via state observers”, Journal of Building Performance Simulation, 14 (1), 1-19. DOI: 10.1080/19401493.2020.1838612
Lou, Q., Meng, X., Karniadakis, G.E. (2021). ”Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation”, Journal of Computational Physics, 447 (-), -. DOI: 10.1016/j.jcp.2021.110676
Li, A., Su, S. (2021). ”Accelerating Binarized Neural Networks via Bit-Tensor-Cores in Turing GPUs”, IEEE Transactions on Parallel and Distributed Systems, 32 (7), 1878-1891. DOI: 10.1109/TPDS.2020.3045828
Curzel, S., Agostini, N.B., Song, S., Dagli, I., Limaye, A., Tan, C., Minutoli, M., Castellana, V.G., Amatya, V., Manzano, J., Das, A., Ferrandi, F., Tumeo, A. (2021). “Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators”, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, 2021- (-), -. DOI: 10.1109/ICCAD51958.2021.9643474
Guo, L., Li, D., Laguna, I. (2021). “PARIS: Predicting application resilience using machine learning”, Journal of Parallel and Distributed Computing, 152 (-), 111-124. DOI: 10.1016/j.jpdc.2021.02.015
Park, S.-H., Kwon, Y.-J., Adachi, I., Aihara, H., Al Said, S., Asner, D.M., Atmacan, H., Aushev, T., Ayad, R., Babu, V., Behera, P., Bennett, J., Bessner, M., Bhardwaj, V., Bhuyan, B., Bilka, T., Biswal, J., Bonvicini, G., Bozek, A., Bračko, M., Browder, T.E., Campajola, M., Cao, L., Červenkov, D., Chang, M.-C., Chang, P., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., Dash, N., De Nardo, G., Di Capua, F., Dingfelder, J., Doležal, Z., Dong, T.V., Eidelman, S., Epifanov, D., Ferlewicz, D., Fulsom, B.G., Garg, R., Gaur, V., Garmash, A., Giri, A., Goldenzweig, P., Guan, Y., Gudkova, K., Hadjivasiliou, C., Hara, T., Hartbrich, O., Hayasaka, K., Hayashii, H., Hedges, M.T., Hernandez Villanueva, M., Hou, W.-S., Hsu, C.-L., Huang, K., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jaegle, I., Jang, E.-J., Jeon, H.B., Jia, S., Jin, Y., Joo, C.W., Joo, K.K., Kang, K.H., Karyan, G., Kawasaki, T., Kiesling, C., Kim, D.Y., Kim, K.-H., Kim, S.H., Kim, Y.-K., Kinoshita, K., Kodyš, P., Konno, T., Korpar, S., Kotchetkov, D., Križan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kumar, M., Kumara, K., Lalwani, K., Lee, I.S., Lee, S.C., Li, C.H., Li, J., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liptak, Z., Liventsev, D., Luo, T., MacNaughton, J., MacQueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mohanty, S., Mori, T., Moser, H.-G., Mrvar, M., Mussa, R., Nakao, M., Natkaniec, Z., Natochii, A., Nayak, L., Nayak, M., Niiyama, M., Nisar, N.K., Nishida, S., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlov, P., Pakhlova, G., Pardi, S., Park, C.W., Park, H., Patra, S., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Ritter, M., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sakai, Y., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schueler, J., Schwanda, C., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shen, C.P., Shiu, J.-G., Sokolov, A., Solovieva, E., Stanič, S., Starič, M., Stottler, Z.S., Strube, J.F., Sumihama, M., Sumisawa, K., Sumiyoshi, T., Sutcliffe, W., Takizawa, M., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Unno, Y., Uno, S., Urquijo, P., Vahsen, S.E., Van Tonder, R., Varner, G., Varvell, K.E., Vinokurova, A., Vorobyev, V., Waheed, E., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Watanabe, M., Watanuki, S., Wehle, S., Won, E., Xu, X., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yelton, J., Yin, J.H., Yusa, Y., Zhang, Z.P., Zhilich, V., Zhukova, V., Zhulanov, V. (2021). “Search for the dark photon in B0 → A′A′, A′ → e+e−, μ+μ−, and π+π− decays at Belle”, Journal of High Energy Physics, 2021 (4), -. DOI: 10.1007/JHEP04(2021)191
Bedaque, P., Boehnlein, A., Cromaz, M., Diefenthaler, M., Elouadrhiri, L., Horn, T., Kuchera, M., Lawrence, D., Lee, D., Lidia, S., McKeown, R., Melnitchouk, W., Nazarewicz, W., Orginos, K., Roblin, Y., Scott Smith, M., Schram, M., Wang, X.-N. (2021). “A.I. for nuclear physics”, European Physical Journal A, 57 (3), -. DOI: 10.1140/epja/s10050-020-00290-x
Xu, K., Tartakovsky, A.M., Burghardt, J., Darve, E. (2021). “Learning viscoelasticity models from indirect data using deep neural networks”, Computer Methods in Applied Mechanics and Engineering, 387 (-), -. DOI: 10.1016/j.cma.2021.114124
Bao, T., Burghardt, J., Gupta, V., White, M. (2021). “Impact of time-dependent deformation on geomechanical risk for geologic carbon storage”, International Journal of Rock Mechanics and Mining Sciences, 148 (-), -. DOI: 10.1016/j.ijrmms.2021.104940
Hagen, L.H., Brooke, C.G., Shaw, C.A., Norbeck, A.D., Piao, H., Arntzen, M.Ø., Olson, H.M., Copeland, A., Isern, N., Shukla, A., Roux, S., Lombard, V., Henrissat, B., O’Malley, M.A., Grigoriev, I.V., Tringe, S.G., Mackie, R.I., Pasa-Tolic, L., Pope, P.B., Hess, M. (2021). “Proteome specialization of anaerobic fungi during ruminal degradation of recalcitrant plant fiber”, ISME Journal, 15 (2), 421-434. DOI: 10.1038/s41396-020-00769-x
Blum, D., Arroyo, J., Huang, S., Drgoňa, J., Jorissen, F., Walnum, H.T., Chen, Y., Benne, K., Vrabie, D., Wetter, M., Helsen, L. (2021). “Building optimization testing framework (BOPTEST) for simulation-based benchmarking of control strategies in buildings”, Journal of Building Performance Simulation, 14 (5), 586-610. DOI: 10.1080/19401493.2021.1986574
Song, Q., Ma, H., Lin, P., Wu, Y. (2021). “GRIP: Constraint-based Explanation of Missing Answers for Graph Queries”, Proceedings of the ACM SIGMOD International Conference on Management of Data, - (-), 2779-2783. DOI: 10.1145/3448016.3452758
Castellana, V.G., Tumeo, A., Ferrandi, F. (2021). “High-level synthesis of parallel specifications coupling static and dynamic controllers”, Proceedings - 2021 IEEE 35th International Parallel and Distributed Processing Symposium, IPDPS 2021, - (-), 192-202. DOI: 10.1109/IPDPS49936.2021.00028
Guan, S., Ma, H., Choudhury, S., Wu, Y. (2021). “Gedet: Detecting erroneous nodes with a few examples”, Proceedings of the VLDB Endowment, 14 (12), 2875-2878. DOI: 10.14778/3476311.3476367
Jin, S., Roche, K.J., Stetcu, I., Abdurrahman, I., Bulgac, A. (2021). “The LISE package: Solvers for static and time-dependent superfluid local density approximation equations in three dimensions”, Computer Physics Communications, 269 (-), -. DOI: 10.1016/j.cpc.2021.108130
Herman, K.M., Heindel, J.P., Xantheas, S.S. (2021). “The many-body expansion for aqueous systems revisited: III. Hofmeister ion-water interactions”, Physical Chemistry Chemical Physics, 23 (19), 11196-11210. DOI: 10.1039/d1cp00409c
Li, Y., Geng, T., Li, A., Yu, H. (2021). “BCNN: Binary complex neural network”, Microprocessors and Microsystems, 87 (-), -. DOI: 10.1016/j.micpro.2021.104359
Wang, X., Tumeo, A., Leidel, J.D., Li, J., Chen, Y. (2021). “HAM: Hotspot-aware manager for improving communications with 3D-stacked memory”, IEEE Transactions on Computers, 70 (6), 833-848. DOI: 10.1109/TC.2021.3066982
Kulkarni, S.S., Das, H., Tamayo, D.R., Ma, X., Wang, T., Zhang, D., Upadhyay, P., Choi, K.S., Soulami, A., Herling, D. (2021). “A Combined Experimental and Modeling Approach to Investigate the Performance of Joint Between AZ31 Magnesium and Uncoated DP590 Steel Using Friction Stir-Assisted Scribe Technique”, Journal of Materials Engineering and Performance, 30 (11), 8296-8308. DOI: 10.1007/s11665-021-06060-0
Ghosh, S., Guo, Y., Balaji, P., Gebremedhin, A.H. (2021). “RMACXX: An efficient high-level C++ interface over MPI-3 RMA”, Proceedings - 21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021, - (-), 143-155. DOI: 10.1109/CCGrid51090.2021.00024
Su, Y., Berry, D.W., Wiebe, N., Rubin, N., Babbush, R. (2021). “Fault-Tolerant Quantum Simulations of Chemistry in First Quantization”, PRX Quantum, 2 (4), -. DOI: 10.1103/PRXQuantum.2.040332
Bao, T., Burghardt, J., Gupta, V., Edelman, E., McPherson, B., White, M. (2021). “Experimental workflow to estimate model parameters for evaluating long term viscoelastic response of CO2 storage caprocks”, International Journal of Rock Mechanics and Mining Sciences, 146 (-), -. DOI: 10.1016/j.ijrmms.2021.104796
Claudino, D., Peng, B., Bauman, N.P., Kowalski, K., Humble, T.S. (2021). “Improving the accuracy and efficiency of quantum connected moments expansions”, Quantum Science and Technology, 6 (3), -. DOI: 10.1088/2058-9565/ac0292
Strube, J., Schram, M., Rustam, S., Kennedy, Z., Varga, T. (2021). “Identifying build orientation of 3D-printed materials using convolutional neural networks”, Statistical Analysis and Data Mining, 14 (6), 575-582. DOI: 10.1002/sam.11497
Ghosh, S., Tallent, N.R., Minutoli, M., Halappanavar, M., Peri, R., Kalyanaraman, A. (2021). “Single-node partitioned-memory for huge graph analytics: Cost and performance trade-offs”, International Conference for High Performance Computing, Networking, Storage and Analysis, SC, - (-), -. DOI: 10.1145/3458817.3476156
He, Q., Tartakovsky, A.M. (2021). “Physics-Informed Neural Network Method for Forward and Backward Advection-Dispersion Equations”, Water Resources Research, 57 (7), -. DOI: 10.1029/2020WR029479
Gao, P., Wu, H., Zhang, X., Jia, H., Kim, J.-M., Engelhard, M.H., Niu, C., Xu, Z., Zhang, J.-G., Xu, W. (2021). “Optimization of Magnesium-Doped Lithium Metal Anode for High Performance Lithium Metal Batteries through Modeling and Experiment”, Angewandte Chemie - International Edition, 60 (30), 16506-16513. DOI: 10.1002/anie.202103344
Zhang, L., Leach, M., Bae, Y., Cui, B., Bhattacharya, S., Lee, S., Im, P., Adetola, V., Vrabie, D., Kuruganti, T. (2021). “Sensor impact evaluation and verification for fault detection and diagnostics in building energy systems: A review”, Advances in Applied Energy, 3 (-), -. DOI: 10.1016/j.adapen.2021.100055
Biró, C., Bosek, B., Smith, H.C., Trotter, W.T., Wang, R., Young, S.J. (2021). “Planar Posets that are Accessible from Below Have Dimension at Most 6”, Order, 38 (1), 21-36. DOI: 10.1007/s11083-020-09525-4
Peterson, M.J., Handakumbura, P.P., Thompson, A.M., Russell, Z.R., Kim, Y.-M., Fansler, S.J., Smith, M.L., Toyoda, J.G., Chu, R.K., Stanfill, B.A., Fransen, S.C., Bailey, V.L., Jansson, C., Hixson, K.K., Callister, S.J. (2021). “Deciphering the microbial and molecular responses of geographically diverse Setaria accessions grown in a nutrient-poor soil”, PLoS ONE, 16 (12), -. DOI: 10.1371/journal.pone.0259937
Drgoňa, J., Tuor, A., Skomski, E., Vasisht, S., Vrabie, D. (2021). “Deep learning explicit differentiable predictive control laws for buildings”, IFAC-PapersOnLine, 54 (6), 14-19. DOI: 10.1016/j.ifacol.2021.08.518
Li, S., Olszta, M., Li, L., Gwalani, B., Soulami, A., Powell, C.A., Mathaudhu, S., Devaraj, A., Wang, C. (2021). “In-situ TEM observation of shear induced microstructure evolution in Cu-Nb alloy”, Scripta Materialia, 205 (-), -. DOI: 10.1016/j.scriptamat.2021.114214
Ramirez-Tamayo, D., Soulami, A., Gupta, V., Restrepo, D., Montoya, A., Millwater, H. (2021). “A complex-variable cohesive finite element subroutine to enable efficient determination of interfacial cohesive material parameters”, Engineering Fracture Mechanics, 247 (-), -. DOI: 10.1016/j.engfracmech.2021.107638
Wang, P., Agarwal, K., Ham, C., Choudhury, S., Reddy, C.K. (2021). “Self-supervised learning of contextual embeddings for link prediction in heterogeneous networks”, The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021, - (-), 2946-2957. DOI: 10.1145/3442381.3450060
Beleño, C., Frey, A., Adachi, I., Aihara, H., Asner, D.M., Atmacan, H., Aushev, T., Ayad, R., Behera, P., Bennett, J., Bernlochner, F., Bhardwaj, V., Bilka, T., Biswal, J., Bonvicini, G., Bozek, A., Bračko, M., Browder, T.E., Campajola, M., Červenkov, D., Chang, P., Chen, A., Chilikin, K., Cho, K., Choi, Y., Cinabro, D., Cunliffe, S., Dash, N., Di Capua, F., Dingfelder, J., DoleŽal, Z., Dong, T.V., Eidelman, S., Epifanov, D., Fast, J.E., Ferber, T., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Guan, Y., Hartbrich, O., Hayasaka, K., Hayashii, H., Hou, W.-S., Inami, K., Ishikawa, A., Iwasaki, M., Jacobs, W.W., Jeon, H.B., Jin, Y., Joo, K.K., Kiesling, C., Kim, B.H., Kim, D.Y., Kim, K.-H., Kim, S.H., Kim, Y.-K., Kimmel, T.D., Kinoshita, K., Kodyš, P., Korpar, S., Kotchetkov, D., KriŽan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kulasiri, R., Kumar, R., Kuzmin, A., Kwon, Y.-J., Lalwani, K., Lee, S.C., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Luo, T., Macnaughton, J., Macqueen, C., Masuda, M., Matsuda, T., Merola, M., Miyabayashi, K., Mohanty, G.B., Moon, T.J., Mori, T., Mrvar, M., Nakao, M., Nisar, N.K., Nishida, S., Ogawa, S., Ono, H., Oskin, P., Pakhlov, P., Pakhlova, G., Pardi, S., Park, H., Patra, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Prencipe, E., Prim, M.T., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sakai, Y., Sandilya, S., Sangal, A., Sanuki, T., Savinov, V., Schnell, G., Schwanda, C., Schwartz, A.J., Schwenker, B., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Shiu, J.-G., Shwartz, B., Sokolov, A., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumiyoshi, T., Sutcliffe, W., Takizawa, M., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Uno, S., Urquijo, P., Vahsen, S.E., Van Tonder, R., Varner, G., Varvell, K.E., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Wang, X.L., Watanabe, M., Won, E., Xu, X., Yan, W., Yang, S.B., Ye, H., Yusa, Y., Zhang, Z.P., Zhilich, V., Zhukova, V. (2021). “Measurement of the branching fraction of the decay B+ →π+π-ℓ+νℓ in fully reconstructed events at Belle”, Physical Review D, 103 (11), -. DOI: 10.1103/PhysRevD.103.112001
Cao, L., Sutcliffe, W., Van Tonder, R., Bernlochner, F.U., Adachi, I., Aihara, H., Al Said, S., Asner, D.M., Atmacan, H., Aushev, T., Ayad, R., Babu, V., Bauer, M., Behera, P., Belous, K., Bennett, J., Bessner, M., Bhardwaj, V., Bilka, T., Biswal, J., Bonvicini, G., Bozek, A., Bračko, M., Browder, T.E., Campajola, M., Červenkov, D., Chang, M.-C., Chang, P., Chekelian, V., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., Dash, N., De Nardo, G., Di Capua, F., Dingfelder, J., DoleŽal, Z., Dong, T.V., Dubey, S., Eidelman, S., Epifanov, D., Ferber, T., Ferlewicz, D., Frey, A., Fulsom, B.G., Garg, R., Gaur, V., Garmash, A., Giri, A., Goldenzweig, P., Guan, Y., Hadjivasiliou, C., Hara, T., Hartbrich, O., Hayasaka, K., Hayashii, H., Hedges, M.T., Hernandez Villanueva, M., Hou, W.-S., Hsu, C.-L., Iijima, T., Inami, K., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jang, E.-J., Jeon, H.B., Jia, S., Jin, Y., Joo, C.W., Joo, K.K., Kang, K.H., Karyan, G., Kawasaki, T., Kichimi, H., Kiesling, C., Kim, B.H., Kim, C.H., Kim, D.Y., Kim, H.J., Kim, K.-H., Kim, S.H., Kim, Y.-K., Kinoshita, K., Kodyš, P., Konno, T., Korobov, A., Korpar, S., Kotchetkov, D., Kovalenko, E., KriŽan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kumar, M., Kumar, R., Kumara, K., Kuzmin, A., Kwon, Y.-J., Lalwani, K., Lange, J.S., Lee, I.S., Lee, S.C., Lewis, P., Li, C.H., Li, J., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liptak, Z., Liventsev, D., Macnaughton, J., Macqueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Moon, T.J., Mori, T., Mrvar, M., Mussa, R., Nakao, M., Natkaniec, Z., Natochii, A., Nayak, L., Nayak, M., Niiyama, M., Nisar, N.K., Nishida, S., Nishimura, K., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlov, P., Pakhlova, G., Pang, T., Pardi, S., Park, C.W., Park, H., Park, S.-H., Patra, S., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Ritter, M., Röhrken, M., Rostomyan, A., Rout, N., Rozanska, M., Russo, G., Sahoo, D., Sakai, Y., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schueler, J., Schwanda, C., Schwartz, A.J., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shen, C.P., Shiu, J.-G., Simon, F., Sokolov, A., Solovieva, E., Stanič, S., Starič, M., Stottler, Z.S., Strube, J.F., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Trabelsi, K., Uchida, M., Uglov, T., Unno, Y., Uno, S., Urquijo, P., Usov, Y., Vahsen, S.E., Varner, G., Varvell, K.E., Vinokurova, A., Vorobyev, V., Vossen, A., Waheed, E., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Watanabe, M., Watanuki, S., Wehle, S., Wiechczynski, J., Won, E., Xu, X., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yin, J.H., Yuan, C.Z., Yusa, Y., Zhang, Z.P., Zhilich, V., Zhukova, V., Zhulanov, V. (2021). “Measurements of partial branching fractions of inclusive B →Xuℓ+νℓ decays with hadronic tagging”, Physical Review D, 104 (1), -. DOI: 10.1103/PhysRevD.104.012008
Roth, J., Barajas-Solano, D.A., Stinis, P., Weare, J., Anitescu, M. (2021). “A kinetic monte carlo approach for simulating cascading transmission line failure”, Multiscale Modeling and Simulation, 19 (1), 208-241. DOI: 10.1137/19M1306865
Poudel, S., Black, G.D., Reiman, A.P. (2021). “An Application for Validation of Power Distribution System Models in an ADMS Environment”, IEEE Power and Energy Society General Meeting, 2021- (-), -. DOI: 10.1109/PESGM46819.2021.9637894
Chen, X., Yang, L., Duan, J., Karniadakis, G.E.M. (2021). “Solving inverse stochastic problems from discrete particle observations using the fokker-planck equation and physics-informed neural networks”, SIAM Journal on Scientific Computing, 43 (3), B811-B830. DOI: 10.1137/20M1360153
Kowalski, K., Bair, R., Bauman, N.P., Boschen, J.S., Bylaska, E.J., Daily, J., De Jong, W.A., Dunning, T., Govind, N., Harrison, R.J., Keçeli, M., Keipert, K., Krishnamoorthy, S., Kumar, S., Mutlu, E., Palmer, B., Panyala, A., Peng, B., Richard, R.M., Straatsma, T.P., Sushko, P., Valeev, E.F., Valiev, M., Van Dam, H.J.J., Waldrop, J.M., Williams-Young, D.B., Yang, C., Zalewski, M., Windus, T.L. (2021). “From NWChem to NWChemEx: Evolving with the Computational Chemistry Landscape”, Chemical Reviews, 121 (8), 4962-4998. DOI: 10.1021/acs.chemrev.0c00998
Huang, S., Zuo, W., Vrabie, D., Xu, R. (2021). “Modelica-based system modeling for studying control-related faults in chiller plants and boiler plants serving large office buildings”, Journal of Building Engineering, 44 (-), -. DOI: 10.1016/j.jobe.2021.102654
Li, J., Hu, S., Li, Y., Shi, S.-Q. (2021). “Evolution mechanisms and kinetics of porous structures during chemical dealloying of binary alloys”, Microporous and Mesoporous Materials, 320 (-), -. DOI: 10.1016/j.micromeso.2021.111092
Mamun, O., Wenzlick, M., Sathanur, A., Hawk, J., Devanathan, R. (2021). “Machine learning augmented predictive and generative model for rupture life in ferritic and austenitic steels”, npj Materials Degradation, 5 (1), -. DOI: 10.1038/s41529-021-00166-5
Lee, J., Berry, D.W., Gidney, C., Huggins, W.J., McClean, J.R., Wiebe, N., Babbush, R. (2021). “Even More Efficient Quantum Computations of Chemistry through Tensor Hypercontraction”, PRX Quantum, 2 (3), -. DOI: 10.1103/PRXQuantum.2.030305
Xiang, L., Khan, A., Serra, E., Halappanavar, M., Sukumaran-Rajam, A. (2021). “CuTS: Scaling Subgraph Isomorphism on Distributed Multi-GPU Systems Using Trie Based Data Structure”, International Conference for High Performance Computing, Networking, Storage and Analysis, SC, - (-), -. DOI: 10.1145/3458817.3476214
Geng, T., Wu, C., Zhang, Y., Tan, C., Xie, C., You, H., Herbordt, M.C., Lin, Y., Li, A. (2021). “I-GCN: A graph convolutional network accelerator with runtime locality enhancement through islandization”, Proceedings of the Annual International Symposium on Microarchitecture, MICRO, - (-), 1051-1063. DOI: 10.1145/3466752.3480113
Tian, R., Guo, L., Li, J., Ren, B., Kestor, G. (2021). “A High Performance Sparse Tensor Algebra Compiler in MLIR”, Proceedings of LLVM-HPC 2021: 7th Annual Workshop on the LLVM Compiler Infrastructure in HPC, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis, - (-), 27-38. DOI: 10.1109/LLVMHPC54804.2021.00009
Kulkarni, S.S., Gupta, V., Senor, D., Truster, T., Soulami, A., Devanathan, R. (2021). “A microstructure-based modeling approach to predict the mechanical properties of Zr alloy with hydride precipitates”, Computational Materials Science, 197 (-), -. DOI: 10.1016/j.commatsci.2021.110654
Xie, C., Chen, J., Firoz, J., Li, J., Song, S.L., Barker, K., Raugas, M., Li, A. (2021). “Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures”, ACM International Conference Proceeding Series, - (-), -. DOI: 10.1145/3472456.3472478
Gao, P., Yang, X., Tang, Y.-H., Zheng, M., Andersen, A., Murugesan, V., Hollas, A., Wang, W. (2021). “Graphical Gaussian process regression model for aqueous solvation free energy prediction of organic molecules in redox flow batteries”, Physical Chemistry Chemical Physics, 23 (43), 24892-24904. DOI: 10.1039/d1cp04475c
Peng, H., Zhou, S., Weitze, S., Li, J., Islam, S., Geng, T., Li, A., Zhang, W., Song, M., Xie, M., Liu, H., Ding, C. (2021). “Binary complex neural network acceleration on FPGA: (Invited paper)”, Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors, 2021- (-), 85-92. DOI: 10.1109/ASAP52443.2021.00021
Aksoy, S.G., Kempton, M., Young, S.J. (2021). “Spectral Threshold for Extremal Cyclic Edge-Connectivity”, Graphs and Combinatorics, 37 (6), 2079-2093. DOI: 10.1007/s00373-021-02333-6
Kulkarni, S.S., Choi, K.S., Kuang, W., Menon, N., Mills, B., Soulami, A., Simmons, K. (2021). “Damage evolution in polymer due to exposure to high-pressure hydrogen gas”, International Journal of Hydrogen Energy, 46 (36), 19001-19022. DOI: 10.1016/j.ijhydene.2021.03.035
Limaye, A., Tumeo, A., Adegbija, T. (2021). “Energy characterization of graph workloads”, Sustainable Computing: Informatics and Systems, 29 (-), -. DOI: 10.1016/j.suscom.2020.100465
Stein, S.A., Baheri, B., Chen, D., Mao, Y., Guan, Q., Li, A., Fang, B., Xu, S. (2021). “QuGAN: A Quantum State Fidelity based Generative Adversarial Network”, Proceedings - 2021 IEEE International Conference on Quantum Computing and Engineering, QCE 2021, - (-), 71-81. DOI: 10.1109/QCE52317.2021.00023
He, Q., Laurence, D.W., Lee, C.-H., Chen, J.-S. (2021). “Manifold learning based data-driven modeling for soft biological tissues”, Journal of Biomechanics, 117 (-), -. DOI: 10.1016/j.jbiomech.2020.110124
Liu, J., Ren, J., Gioiosa, R., Li, D., Li, J. (2021). “Sparta: High-performance, element-wise sparse tensor contraction on heterogeneous memory”, Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, - (-), 318-333. DOI: 10.1145/3437801.3441581
Purohit, S., Mackey, P., Zucker, J.D., Bohra, A., Deshmukh, R.D., Chin, G. (2021). “QLiG: Query Like a Graph For Subgraph Matching”, Proceedings - 2021 IEEE 4th International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2021, - (-), 121-128. DOI: 10.1109/AIKE52691.2021.00025
Liu, J., Li, D., Gioiosa, R., Li, J. (2021). “Athena: High-performance sparse tensor contraction sequence on heterogeneous memory”, Proceedings of the International Conference on Supercomputing, - (-), 190-202. DOI: 10.1145/3447818.3460355
Nandanoori, S.P., Pal, S., Sinha, S., Kundu, S., Agarwal, K., Choudhury, S. (2021). “Data-driven Distributed Learning of Multi-agent Systems: A Koopman Operator Approach”, Proceedings of the IEEE Conference on Decision and Control, 2021- (-), 5059-5066. DOI: 10.1109/CDC45484.2021.9682872
Kestor, G., Li, D., Markidis, S. (2021). “Welcome Message from AI4S Workshop”, Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2021- (-), -. DOI: 10.1109/Cluster48925.2021.00014
Peng, G.C.Y., Alber, M., Buganza Tepole, A., Cannon, W.R., De, S., Dura-Bernal, S., Garikipati, K., Karniadakis, G., Lytton, W.W., Perdikaris, P., Petzold, L., Kuhl, E. (2021). “Multiscale Modeling Meets Machine Learning: What Can We Learn?”, Archives of Computational Methods in Engineering, 28 (3), 1017-1037. DOI: 10.1007/s11831-020-09405-5
Tan, C., Agostini, N.B., Zhang, J., Minutoli, M., Castellana, V.G., Xie, C., Geng, T., Li, A., Barker, K., Tumeo, A. (2021). “OpenCGRA: Democratizing coarse-grained reconfigurable arrays”, Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors, 2021- (-), 149-155. DOI: 10.1109/ASAP52443.2021.00029
Feng, B., Wang, Y., Geng, T., Li, A., Ding, Y. (2021). “APNN-TC: Accelerating arbitrary precision neural networks on ampere GPU tensor cores”, International Conference for High Performance Computing, Networking, Storage and Analysis, SC, - (-), -. DOI: 10.1145/3458817.3476157
Gwalani, B., Fu, W., Olszta, M., Silverstein, J., Yadav, D.R., Manimunda, P., Guzman, A., Xie, K., Rohatgi, A., Mathaudhu, S., Powell, C.A., Sushko, P.V., Li, Y., Devaraj, A. (2021). “Lattice misorientation evolution and grain refinement in Al-Si alloys under high-strain shear deformation”, Materialia, 18 (-), -. DOI: 10.1016/j.mtla.2021.101146
Reyes, B., Howard, A.A., Perdikaris, P., Tartakovsky, A.M. (2021). “Learning unknown physics of non-Newtonian fluids”, Physical Review Fluids, 6 (7), -. DOI: 10.1103/PhysRevFluids.6.073301
Roy, S., Aksoy, S.G., Sarker, S., Wang, P., Young, S.J. (2021). “Structural Controllability Assessment for Inverter-Based Microgrids”, 2021 North American Power Symposium, NAPS 2021, - (-), -. DOI: 10.1109/NAPS52732.2021.9654687
Tzeli, D., Raugei, S., Xantheas, S.S. (2021). “Quantitative Account of the Bonding Properties of a Rubredoxin Model Complex [Fe(SCH3)4]q, q = -2, -1, +2, +3”, Journal of Chemical Theory and Computation, 17 (10), 6080-6091. DOI: 10.1021/acs.jctc.1c00485
Mansouri, K., Karmaus, A.L., Fitzpatrick, J., Patlewicz, G., Pradeep, P., Alberga, D., Alepee, N., Allen, T.E.H., Allen, D., Alves, V.M., Andrade, C.H., Auernhammer, T.R., Ballabio, D., Bell, S., Benfenati, E., Bhattacharya, S., Bastos, J.V., Boyd, S., Brown, J.B., Capuzzi, S.J., Chushak, Y., Ciallella, H., Clark, A.M., Consonni, V., Daga, P.R., Ekins, S., Farag, S., Fedorov, M., Fourches, D., Gadaleta, D., Gao, F., Gearhart, J.M., Goh, G., Goodman, J.M., Grisoni, F., Grulke, C.M., Hartung, T., Hirn, M., Karpov, P., Korotcov, A., Lavado, G.J., Lawless, M., Li, X., Luechtefeld, T., Lunghini, F., Mangiatordi, G.F., Marcou, G., Marsh, D., Martin, T., Mauri, A., Muratov, E.N., Myatt, G.J., Nguyen, D.-T., Nicolotti, O., Note, R., Pande, P., Parks, A.K., Peryea, T., Polash, A.H., Rallo, R., Roncaglioni, A., Rowlands, C., Ruiz, P., Russo, D.P., Sayed, A., Sayre, R., Sheils, T., Siegel, C., Silva, A.C., Simeonov, A., Sosnin, S., Southall, N., Strickland, J., Tang, Y., Teppen, B., Tetko, I.V., Thomas, D., Tkachenko, V., Todeschini, R., Toma, C., Tripodi, I., Trisciuzzi, D., Tropsha, A., Varnek, A., Vukovic, K., Wang, Z., Wang, L., Waters, K.M., Wedlake, A.J., Wijeyesakere, S.J., Wilson, D., Xiao, Z., Yang, H., Zahoranszky-Kohalmi, G., Zakharov, A.V., Zhang, F.F., Zhang, Z., Zhao, T., Zhu, H., Zorn, K.M., Casey, W., Kleinstreuer, N.C. (2021). “CATMoS: Collaborative acute toxicity modeling suite”, Environmental Health Perspectives, 129 (4), -. DOI: 10.1289/EHP8495
Jian, G., Sarathi, R.S., Burghardt, J., Bonneville, A., Gupta, V., Fernandez, C.A., Garrison, G. (2021). “Evaluation of a Greener Fracturing Fluid for Geothermal Energy Recovery: An Experimental and Simulation Study”, Geothermics, 97 (-), -. DOI: 10.1016/j.geothermics.2021.102266
Xie, C., Li, X., Hu, Y., Peng, H., Taylor, M., Song, S.L. (2021). “Q-VR: System-level design for future mobile collaborative virtual reality”, International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS, - (-), 587-599. DOI: 10.1145/3445814.3446715
Liu, J., Yang, J., Zeng, X.C., Xantheas, S.S., Yagi, K., He, X. (2021). “Towards complete assignment of the infrared spectrum of the protonated water cluster H+(H2O)21”, Nature Communications, 12 (1), -. DOI: 10.1038/s41467-021-26284-x
Peng, B., Bauman, N.P., Gulania, S., Kowalski, K. (2021). “Coupled cluster Green's function: Past, present, and future”, Annual Reports in Computational Chemistry, 17 (-), 23-53. DOI: 10.1016/bs.arcc.2021.08.002
Fang, B., Wang, D., Jin, S., Koziol, Q., Zhang, Z., Guan, Q., Byna, S., Krishnamoorthy, S., Tao, D. (2021). “Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights”, Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2021- (-), 409-420. DOI: 10.1109/Cluster48925.2021.00048
Vasisht, S., Bhattacharya, A., Huang, S., Sharma, H., Adetola, V., Vrabie, D. (2021). “Co-Design of Commercial Building HVAC using Bayesian Optimization”, Proceedings of the American Control Conference, 2021- (-), 366-372. DOI: 10.23919/ACC50511.2021.9483129
Zhou, M., Abdali, S.H., Dilworth, D., Liu, L., Cole, B., Malhan, N., Ahkami, A.H., Winkler, T.E., Hollingsworth, J., Sievert, J., Dahlberg, J., Hutmacher, R., Madera, M., Owiti, J.A., Hixson, K.K., Lemaux, P.G., Jansson, C., Paša-Tolić, L. (2021). “Isolation of histone from sorghum leaf tissue for top down mass spectrometry profiling of potential epigenetic markers”, Journal of Visualized Experiments, 2021 (169), -. DOI: 10.3791/61707
Takeda, N., Hirata, K., Tsuruta, K., Santis, G.D., Xantheas, S.S., Ishiuchi, S.-I., Fujii, M. (2021). “Gas phase protonated nicotine is a mixture of pyridine- and pyrrolidine-protonated conformers: implications for its native structure in the nicotinic acetylcholine receptor”, Physical Chemistry Chemical Physics, 24 (10), 5786-5793. DOI: 10.1039/d1cp05175j
Tan, C., Xie, C., Li, A., Barker, K.J., Tumeo, A. (2021). “AURORA: Automated Refinement of Coarse-Grained Reconfigurable Accelerators”, Proceedings -Design, Automation and Test in Europe, DATE, 2021- (-), 1388-1393. DOI: 10.23919/DATE51398.2021.9473955
He, X., He, Q., Chen, J.-S. (2021). “Deep autoencoders for physics-constrained data-driven nonlinear materials modeling”, Computer Methods in Applied Mechanics and Engineering, 385 (-), -. DOI: 10.1016/j.cma.2021.114034
Ashtari Esfahani, A., Betancourt, M., Bogorad, Z., Böser, S., Buzinsky, N., Cervantes, R., Claessens, C., De Viveiros, L., Fertl, M., Formaggio, J.A., Gladstone, L., Grando, M., Guigue, M., Hartse, J., Heeger, K.M., Huyan, X., Johnston, J., Jones, A.M., Kazkaz, K., Laroque, B.H., Lindman, A., Mohiuddin, R., Monreal, B., Nikkel, J.A., Novitski, E., Oblath, N.S., Ottiger, M., Pettus, W., Robertson, R.G.H., Rybka, G., Saldaña, L., Schram, M., Sibille, V., Slocum, P.L., Sun, Y.-H., Surukuchi, P.T., Tedeschi, J.R., Telles, A.B., Thomas, M., Thümmler, T., Tvrznikova, L., Vandevender, B.A., Weiss, T.E., Wendler, T., Zayas, E., Ziegler, A. (2021). “Bayesian analysis of a future β decay experiment's sensitivity to neutrino mass scale and ordering”, Physical Review C, 103 (6), -. DOI: 10.1103/PhysRevC.103.065501
Acer, S., Azad, A., Boman, E.G., Buluç, A., Devine, K.D., Ferdous, S.M., Gawande, N., Ghosh, S., Halappanavar, M., Kalyanaraman, A., Khan, A., Minutoli, M., Pothen, A., Rajamanickam, S., Selvitopi, O., Tallent, N.R., Tumeo, A. (2021). “EXAGRAPH: Graph and combinatorial methods for enabling exascale applications”, International Journal of High Performance Computing Applications, 35 (6), 553-571. DOI: 10.1177/10943420211029299
Purohit, S., Van, N., Chin, G. (2021). “Semantic Property Graph for Scalable Knowledge Graph Analytics”, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, - (-), 2672-2677. DOI: 10.1109/BigData52589.2021.9671547
Tumeo, A., Minutoli, M., Feo, J., Castellana, V.G. (2021). “Message from the Workshop Chairs”, Proceedings of IA3 2021: Workshop on Irregular Applications: Architectures and Algorithms, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis, - (-), -. DOI: 10.1109/IA354616.2021.00004
Yang, L., Meng, X., Karniadakis, G.E. (2021). “B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data”, Journal of Computational Physics, 425 (-), -. DOI: 10.1016/j.jcp.2020.109913
Lee, K., Trask, N., Stinis, P. (2021). “Machine learning structure preserving brackets for forecasting irreversible processes”, Advances in Neural Information Processing Systems, 7 (-), 5696-5707. DOI: 10.48550/arXiv.2106.12619
Lansing, C., Levin, M., Sivaraman, C., Fao, R., Driscoll, F. (2021). “Tsdat: An Open-Source Data Standardization Framework for Marine Energy and beyond”, Oceans Conference Record (IEEE), 2021- (-), -. DOI: 10.23919/OCEANS44145.2021.9706101
Wu, H., Gao, P., Jia, H., Zou, L., Zhang, L., Cao, X., Engelhard, M.H., Bowden, M.E., Ding, M.S., Hu, J., Hu, D., Burton, S.D., Xu, K., Wang, C., Zhang, J.-G., Xu, W. (2021). “A Polymer-in-Salt Electrolyte with Enhanced Oxidative Stability for Lithium Metal Polymer Batteries”, ACS Applied Materials and Interfaces, 13 (27), 31583-31593. DOI: 10.1021/acsami.1c04637
Heindel, J.P., Xantheas, S.S. (2021). “The Many-Body Expansion for Aqueous Systems Revisited: II. Alkali Metal and Halide Ion-Water Interactions”, Journal of Chemical Theory and Computation, 17 (4), 2200-2216. DOI: 10.1021/acs.jctc.0c01309
Silva, S.J., Burrows, S.M., Evans, M.J., Halappanavar, M. (2021). “A Graph Theoretical Intercomparison of Atmospheric Chemical Mechanisms”, Geophysical Research Letters, 48 (1), -. DOI: 10.1029/2020GL090481
Dubey, S., Browder, T.E., Aihara, H., Al Said, S., Asner, D.M., Aushev, T., Ayad, R., Babu, V., Bahinipati, S., Behera, P., Bennett, J., Bessner, M., Bhuyan, B., Bilokin, S., Biswal, J., Bobrov, A., Bonvicini, G., Bozek, A., Bračko, M., Campajola, M., Červenkov, D., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., Dhamija, R., Di Capua, F., DoleŽal, Z., Dossett, D., Eidelman, S., Epifanov, D., Ferber, T., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Golob, B., Greenwald, D., Guan, Y., Gudkova, K., Hadjivasiliou, C., Hayasaka, K., Hayashii, H., Hedges, M.T., Hou, W.-S., Hsu, C.-L., Inami, K., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jang, E.-J., Jin, Y., Joo, C.W., Joo, K.K., Kaliyar, A.B., Kawasaki, T., Kichimi, H., Kim, C.H., Kim, D.Y., Kim, S.H., Kim, Y.-K., Kimmel, T.D., Kinoshita, K., Korpar, S., KriŽan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kulasiri, R., Kumar, R., Kumara, K., Kwon, Y.-J., Lalwani, K., Lange, J.S., Lee, S.C., Li, C.H., Li, J., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Liventsev, D., Macqueen, C., Masuda, M., Matsuda, T., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mohanty, S., Moon, T.J., Nakao, M., Natochii, A., Nayak, L., Nayak, M., Nisar, N.K., Nishida, S., Nishimura, K., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlova, G., Pardi, S., Park, S.-H., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Prencipe, E., Prim, M.T., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sakai, Y., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shiu, J.-G., Shwartz, B., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumisawa, K., Takizawa, M., Tamponi, U., Tanida, K., Tao, Y., Tenchini, F., Trabelsi, K., Uchida, M., Unno, Y., Uno, S., Ushiroda, Y., Usov, Y., Vahsen, S.E., Van Tonder, R., Varner, G., Wang, C.H., Wang, E., Wang, P., Watanabe, M., Watanuki, S., Xu, X., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yin, J.H., Zhang, Z.P., Zhilich, V., Zhukova, V. (2021). “Search for Bs0 →η′Xss¯ at Belle using a semi-inclusive method.”, Physical Review D, 104 (1), -. DOI: 10.1103/PhysRevD.104.012007
Abudinén, F., Adachi, I., Adamczyk, K., Aggarwal, L., Ahmed, H., Aihara, H., Akopov, N., Aloisio, A., Anh Ky, N., Asner, D.M., Atmacan, H., Aushev, V., Babu, V., Bacher, S., Bae, H., Baehr, S., Bahinipati, S., Bambade, P., Banerjee, S., Bansal, S., Barrett, M., Baudot, J., Bauer, M., Baur, A., Becker, J., Behera, P.K., Bennett, J.V., Bernieri, E., Bernlochner, F.U., Bertemes, M., Bertholet, E., Bessner, M., Bettarini, S., Bhardwaj, V., Bianchi, F., Bilka, T., Bilokin, S., Biswas, D., Bobrov, A., Bodrov, D., Bolz, A., Bozek, A., Bračko, M., Branchini, P., Braun, N., Briere, R.A., Browder, T.E., Budano, A., Bussino, S., Campajola, M., Cao, L., Casarosa, G., Cecchi, C., Červenkov, D., Chang, M.-C., Chang, P., Cheaib, R., Chekelian, V., Chen, C., Chen, Y.-T., Cheon, B.G., Chilikin, K., Chirapatpimol, K., Cho, H.-E., Cho, K., Cho, S.-J., Choi, S.-K., Choudhury, S., Cinabro, D., Corona, L., Cremaldi, L.M., Cunliffe, S., Czank, T., Dattola, F., De La Cruz-Burelo, E., De Marino, G., De Nardo, G., De Pietro, G., De Sangro, R., Destefanis, M., Dey, S., De Yta-Hernandez, A., Di Canto, A., Di Capua, F., Dingfelder, J., DoleŽal, Z., Domínguez Jiménez, I., Dong, T.V., Dorigo, M., Dort, K., Dossett, D., Dubey, S., Duell, S., Dujany, G., Ecker, P., Epifanov, D., Ferber, T., Ferlewicz, D., Finocchiaro, G., Flood, K., Fodor, A., Forti, F., Fulsom, B.G., Gabrielli, A., Gabyshev, N., Gaz, A., Gellrich, A., Giakoustidis, G., Giordano, R., Giri, A., Glazov, A., Gobbo, B., Godang, R., Goldenzweig, P., Golob, B., Gradl, W., Graziani, E., Greenwald, D., Gu, T., Guan, Y., Gudkova, K., Guilliams, J., Hadjivasiliou, C., Halder, S., Hara, K., Hara, T., Hartbrich, O., Hayasaka, K., Hayashii, H., Hazra, S., Hearty, C., Heredia De La Cruz, I., Hernández Villanueva, M., Hershenhorn, A., Higuchi, T., Hill, E.C., Hirata, H., Hoek, M., Hohmann, M., Hsu, C.-L., Humair, T., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jaffe, D.E., Jang, E.-J., Jia, S., Jin, Y., Junkerkalefeld, H., Kakuno, H., Kaliyar, A.B., Kandra, J., Kang, K.H., Karl, R., Karyan, G., Kato, Y., Kawasaki, T., Kiesling, C., Kim, C.-H., Kim, D.Y., Kim, Y.-K., Kim, Y., Kimmel, T.D., Kinoshita, K., Kodyš, P., Koga, T., Kohani, S., Konno, T., Korpar, S., Kovalenko, E., Kowalewski, R., Kraetzschmar, T.M.G., Krinner, F., KriŽan, P., Krokovny, P., Kuhr, T., Kumar, J., Kumar, M., Kumar, R., Kumara, K., Kurz, S., Kuzmin, A., Kwon, Y.-J., Lacaprara, S., Lalwani, K., Lam, T., Lanceri, L., Lange, J.S., Laurenza, M., Lautenbach, K., Le Diberder, F.R., Lee, S.C., Leitl, P., Levit, D., Li, C., Li, L.K., Libby, J., Lieret, K., Liptak, Z., Liu, Q.Y., Liventsev, D., Longo, S., Lueck, T., Lyu, C., Manfredi, R., Manoni, E., Marinas, C., Martini, A., Matsuda, T., Matsuoka, K., Matvienko, D., McKenna, J.A., Meier, F., Merola, M., Metzner, F., Miller, C., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Molina-Gonzalez, N., Moon, H., Moser, H.-G., Mrvar, M., Murphy, C., Mussa, R., Nakamura, I., Nakamura, K.R., Nakao, M., Nakazawa, H., Natkaniec, Z., Natochii, A., Nazaryan, G., Niebuhr, C., Niiyama, M., Nisar, N.K., Nishida, S., Nishimura, K., Ogawa, S., Onishchuk, Y., Ono, H., Onuki, Y., Oskin, P., Oxford, E.R., Ozaki, H., Pakhlov, P., Paladino, A., Pang, T., Panta, A., Paoloni, E., Pardi, S., Park, H., Park, S.-H., Paschen, B., Passeri, A., Pathak, A., Patra, S., Paul, S., Pedlar, T.K., Peruzzi, I., Peschke, R., Pestotnik, R., Pham, F., Piccolo, M., Piilonen, L.E., Pinna Angioni, G., Podesta-Lerma, P.L.M., Podobnik, T., Pokharel, S., Polat, G., Popov, V., Praz, C., Prell, S., Prencipe, E., Prim, M.T., Purohit, M.V., Purwar, H., Rad, N., Rados, P., Raiz, S., Reiter, S., Remnev, M., Ripp-Baudot, I., Rizzo, G., Rizzuto, L.B., Robertson, S.H., Roney, J.M., Rostomyan, A., Rout, N., Rozanska, M., Sahoo, D., Sanders, D.A., Sandilya, S., Sangal, A., Santelj, L., Sato, Y., Savinov, V., Scavino, B., Schueler, J., Schwanda, C., Schwartz, A.J., Seino, Y., Selce, A., Senyo, K., Serrano, J., Sfienti, C., Shiu, J.-G., Shwartz, B., Sibidanov, A., Simon, F., Sobie, R.J., Soffer, A., Sokolov, A., Solovieva, E., Spataro, S., Spruck, B., Starič, M., Stefkova, S., Stottler, Z.S., Stroili, R., Strube, J., Sumihama, M., Sutcliffe, W., Suzuki, S.Y., Svidras, H., Tabata, M., Takizawa, M., Tamponi, U., Tanaka, S., Tanida, K., Tanigawa, H., Taniguchi, N., Tenchini, F., Tiwary, R., Tonelli, D., Torassa, E., Toutounji, N., Trabelsi, K., Tsuboyama, T., Ueda, I., Uehara, S., Uematsu, Y., Uglov, T., Unger, K., Unno, Y., Uno, K., Uno, S., Urquijo, P., Ushiroda, Y., Usov, Y.V., Vahsen, S.E., Van Tonder, R., Varner, G.S., Vinokurova, A., Vitale, L., Vossen, A., Waheed, E., Wakeling, H.M., Wang, E., Wang, M.-Z., Wang, X.L., Warburton, A., Watanabe, M., Welsch, M., Wessel, C., Wiechczynski, J., Won, E., Xu, X.P., Yabsley, B.D., Yamada, S., Yan, W., Yang, S.B., Ye, H., Yelton, J., Yin, J.H., Yoshihara, K., Yusa, Y., Zani, L., Zhilich, V., Zhou, Q.D., Zhou, X.Y., Zhukova, V.I., Žlebčík, R. (2021). “Precise Measurement of the D0 and D+ Lifetimes at Belle II”, Physical Review Letters, 127 (21), -. DOI: 10.1103/PhysRevLett.127.211801
Heindel, J.P., Herman, K.M., Aprà, E., Xantheas, S.S. (2021). “Guest-Host Interactions in Clathrate Hydrates: Benchmark MP2 and CCSD(T)/CBS Binding Energies of CH4, CO2, and H2S in (H2O)20Cages”, Journal of Physical Chemistry Letters, 12 (31), 7574-7582. DOI: 10.1021/acs.jpclett.1c01884
Song, Q., Lin, P., Ma, H., Wu, Y. (2021). “Explaining missing data in graphs: A constraint-based approach”, Proceedings - International Conference on Data Engineering, 2021- (-), 1476-1487. DOI: 10.1109/ICDE51399.2021.00131
Kassianov, E., Cromwell, E., Monroe, J., Riihimaki, L.D., Flynn, C., Barnard, J., Michalsky, J.J., Hodges, G., Shi, Y., Comstock, J.M. (2021). “Harmonized and high-quality datasets of aerosol optical depth at a US continental site, 1997–2018”, Scientific Data, 8 (1), -. DOI: 10.1038/s41597-021-00866-2
Bakker, C., Bhattacharya, A., Chatterjee, S., Vrabie, D.L. (2021). “Metagames and Hypergames for Deception-Robust Control”, ACM Transactions on Cyber-Physical Systems, 5 (3), -. DOI: 10.1145/3439430
Dutta, S.B., Naghibijouybari, H., Abu-Ghazaleh, N., Marquez, A., Barker, K. (2021). “Leaky buddies: Cross-component covert channels on integrated CPU-GPU systems”, Proceedings - International Symposium on Computer Architecture, 2021- (-), 972-984. DOI: 10.1109/ISCA52012.2021.00080
Tartakovsky, A.M., Barajas-Solano, D.A., He, Q. (2021). “Physics-informed machine learning with conditional Karhunen-Loève expansions”, Journal of Computational Physics, 426 (-), -. DOI: 10.1016/j.jcp.2020.109904
Childs, A.M., Su, Y., Tran, M.C., Wiebe, N., Zhu, S. (2021). “Theory of Trotter Error with Commutator Scaling”, Physical Review X, 11 (1), -. DOI: 10.1103/PhysRevX.11.011020
Peng, H., Huang, S., Geng, T., Li, A., Jiang, W., Liu, H., Wang, S., Ding, C. (2021). “Accelerating transformer-based deep learning models on fpgas using column balanced block pruning”, Proceedings - International Symposium on Quality Electronic Design, ISQED, 2021- (-), 142-148. DOI: 10.1109/ISQED51717.2021.9424344
Castellana, V.G., Minutoli, M. (2021). “Productive Programming of Distributed Systems with the SHAD C++ Library”, HPDC 2021 - Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing, - (-), 263-264. DOI: 10.1145/3431379.3462765
Aksoy, S.G., Purvine, E., Young, S.J. (2021). “Directional Laplacian Centrality for Cyber Situational Awareness”, Digital Threats: Research and Practice, 2 (4), -. DOI: 10.1145/3450286
Cao, W., Xantheas, S.S., Wang, X.-B. (2021). “Cryogenic vibrationally resolved photoelectron spectroscopy of OH−(H2O): Confirmation of multidimensional Franck−condon simulation results for the transition state of the OH + H2O reaction”, Journal of Physical Chemistry A, 125 (10), 2154-2162. DOI: 10.1021/acs.jpca.1c00848
Brabec, J., Brandejs, J., Kowalski, K., Xantheas, S., Legeza, Ö., Veis, L. (2021). “Massively parallel quantum chemical density matrix renormalization group method”, Journal of Computational Chemistry, 42 (8), 534-544. DOI: 10.1002/jcc.26476
Kaneko, S., Wei, H., He, Q., Chen, J.-S., Yoshimura, S. (2021). “A hyper-reduction computational method for accelerated modeling of thermal cycling-induced plastic deformations”, Journal of the Mechanics and Physics of Solids, 151 (-), -. DOI: 10.1016/j.jmps.2021.104385
Peng, B., Kowalski, K. (2021). “Variational quantum solver employing the PDS energy functional”, Quantum, 5 (-), -. DOI: 10.22331/q-2021-06-10-473
Miao, J., Shen, J., Jiang, R., Chu, J., Guo, L. (2021). “Enabling Multi-scale Features and Double-Attention for Single-image 3D Urban Reconstruction”, Proceeding - 2021 China Automation Congress, CAC 2021, - (-), 4115-4121. DOI: 10.1109/CAC53003.2021.9728424
King, E., Bakker, C., Bhattacharya, A., Chatterjee, S., Pan, F., Oster, M.R., Perkins, C.J. (2021). “Solving the Dynamics-Aware Economic Dispatch Problem with the Koopman Operator”, e-Energy 2021 - Proceedings of the 2021 12th ACM International Conference on Future Energy Systems, - (-), 137-147. DOI: 10.1145/3447555.3464864
Nagy, Z., Park, J.Y., Drgona, J., Quintana, M. (2021). “The second ACM SIGEnergy workshop on reinforcement learning for energy management in buildings & cities (RLEM)”, BuildSys 2021 - Proceedings of the 2021 ACM International Conference on Systems for Energy-Efficient Built Environments, - (-), 307-308. DOI: 10.1145/3486611.3491126
Vila, F.D., Kas, J.J., Rehr, J.J., Kowalski, K., Peng, B. (2021). “Equation-of-Motion Coupled-Cluster Cumulant Green’s Function for Excited States and X-Ray Spectra”, Frontiers in Chemistry, 9 (-), -. DOI: 10.3389/fchem.2021.734945
Bae, Y., Bhattacharya, S., Cui, B., Lee, S., Li, Y., Zhang, L., Im, P., Adetola, V., Vrabie, D., Leach, M., Kuruganti, T. (2021). ”Sensor impacts on building and HVAC controls: A critical review for building energy performance”, Advances in Applied Energy, 4 (-), -. DOI: 10.1016/j.adapen.2021.100068
Alexander, F.J., Ang, J., Bilbrey, J.A., Balewski, J., Casey, T., Chard, R., Choi, J., Choudhury, S., Debusschere, B., DeGennaro, A.M., Dryden, N., Ellis, J.A., Foster, I., Cardona, C.G., Ghosh, S., Harrington, P., Huang, Y., Jha, S., Johnston, T., Kagawa, A., Kannan, R., Kumar, N., Liu, Z., Maruyama, N., Matsuoka, S., McCarthy, E., Mohd-Yusof, J., Nugent, P., Oyama, Y., Proffen, T., Pugmire, D., Rajamanickam, S., Ramakrishniah, V., Schram, M., Seal, S.K., Sivaraman, G., Sweeney, C., Tan, L., Thakur, R., Van Essen, B., Ward, L., Welch, P., Wolf, M., Xantheas, S.S., Yager, K.G., Yoo, S., Yoon, B.-J. (2021). “Co-design Center for Exascale Machine Learning Technologies (ExaLearn)”, International Journal of High Performance Computing Applications, 35 (6), 598-616. DOI: 10.1177/10943420211029302
Lee, J.-Y., Bilbao, A., Conant, C.R., Bloodsworth, K.J., Orton, D.J., Zhou, M., Wilson, J.W., Zheng, X., Webb, I.K., Li, A., Hixson, K.K., Fjeldsted, J.C., Ibrahim, Y.M., Payne, S.H., Jansson, C., Smith, R.D., Metz, T.O. (2021). “AutoCCS: automated collision cross-section calculation software for ion mobility spectrometry–mass spectrometry”, Bioinformatics, 37 (22), 4193-4201. DOI: 10.1093/bioinformatics/btab429
Peng, H., Chen, S., Wang, Z., Yang, J., Weitze, S.A., Geng, T., Li, A., Bi, J., Song, M., Jiang, W., Liu, H., Ding, C. (2021). “Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper)”, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, 2021- (-), -. DOI: 10.1109/ICCAD51958.2021.9643528
Murugesan, V., Nie, Z., Zhang, X., Gao, P., Zhu, Z., Huang, Q., Yan, L., Reed, D., Wang, W. (2021). “Accelerated design of vanadium redox flow battery electrolytes through tunable solvation chemistry”, Cell Reports Physical Science, 2 (2), -. DOI: 10.1016/j.xcrp.2021.100323
Olson, S., Fao, R., Coe, R., Ruehl, K., Driscoll, F., Gunawan, B., Sivaraman, C., Lansing, C., Ivanov, H. (2021). “The marine and hydrokinetic toolkit (Mhkit) for data quality control and analysis”, Proceedings of the European Wave and Tidal Energy Conference, - (-), 2024-2024-7. DOI: 10.2172/1886186
Ranganath, K., Suetterlein, J.D., Manzano, J.B., Song, S.L., Wong, D. (2021). “MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers”, International Conference for High Performance Computing, Networking, Storage and Analysis, SC, - (-), -. DOI: 10.1145/3458817.3480853
Price, J., Meuris, B., Shapiro, M., Stinis, P. (2021). “Optimal renormalization of multiscale systems”, Proceedings of the National Academy of Sciences of the United States of America, 118 (37), -. DOI: 10.1073/pnas.2102266118
Stein, S.A., L'Abbate, R., Mu, W., Liu, Y., Baheri, B., Mao, Y., Qiang, G., Li, A., Fang, B. (2021). “A Hybrid System for Learning Classical Data in Quantum States”, Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference, 2021- (-), -. DOI: 10.1109/IPCCC51483.2021.9679430
Meng, X., Babaee, H., Karniadakis, G.E. (2021). “Multi-fidelity Bayesian neural networks: Algorithms and applications”, Journal of Computational Physics, 438 (-), -. DOI: 10.1016/j.jcp.2021.110361
He, X., He, Q., Chen, J.-S. (2021). “Deep autoencoders for nonlinear physics-constrained data-driven computational framework with application to biological tissue modeling”, CEUR Workshop Proceedings, 2964 (-), -.
Zhang, Y., You, H., Fu, Y., Geng, T., Li, A., Lin, Y. (2021). “G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency”, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, 2021- (-), -. DOI: 10.1109/ICCAD51958.2021.9643549
Skomski, E., Drgoňa, J., Tuor, A. (2021). “Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution”, Proceedings of Machine Learning Research, 144 (-), 980-991.
Skomski, E., Vasisht, S., Wight, C., Tuor, A., Drgona, J., Vrabie, D. (2021). “Constrained Block Nonlinear Neural Dynamical Models”, Proceedings of the American Control Conference, 2021- (-), 3993-4000. DOI: 10.23919/ACC50511.2021.9482930
Baheri, B., Chen, D., Fang, B., Stein, S.A., Chaudhary, V., Mao, Y., Xu, S., Li, A., Guan, Q. (2021). “TQEA: Temporal Quantum Error Analysis”, Proceedings - 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2021, - (-), 65-67. DOI: 10.1109/DSN-S52858.2021.00034
Jones, R., Fortin, D., Chatterjee, S., Thomas, D.G., Newburn, L. (2021). “User Role Identification in Software Vulnerability Discussions over Social Networks”, Proceedings - 2021 IEEE International Conference on Intelligence and Security Informatics, ISI 2021, - (-), -. DOI: 10.1109/ISI53945.2021.9624857
Manu, D., Sheng, Y., Yang, J., Deng, J., Geng, T., Li, A., Ding, C., Jiang, W., Yang, L. (2021). “FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery”, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, 2021- (-), -. DOI: 10.1109/ICCAD51958.2021.9643440
Ghosh, S., Alsobrooks, C., Rufenacht, M., Skjellum, A., Bangalore, P.V., Lumsdaine, A. (2021). “Towards Modern C++ Language Support for MPI”, Proceedings of ExaMPI 2021: Workshop on Exascale MPI, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis, - (-), 27-35. DOI: 10.1109/ExaMPI54564.2021.00009
Jain, M., Kundu, S., Bhattacharya, A., Huang, S., Chandan, V., Radhakrishnan, N., Adetola, V., Vrabie, D. (2021). “Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads”, Proceedings of the American Control Conference, 2021- (-), 4171-4177. DOI: 10.23919/ACC50511.2021.9482639
Tan, C., Geng, T., Xie, C., Agostini, N.B., Li, J., Li, A., Barker, K., Tumeo, A. (2021). “DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications”, Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors, 2021- (-), 33-40. DOI: 10.1109/ICCD53106.2021.00018
Tan, C., Xie, C., Geng, T., Marquez, A., Tumeo, A., Barker, K., Li, A. (2021). “ARENA: Asynchronous Reconfigurable Accelerator Ring to Enable Data-Centric Parallel Computing”, IEEE Transactions on Parallel and Distributed Systems, 32 (12), 2880-2892. DOI: 10.1109/TPDS.2021.3081074
Bhuiyan, T.H., Medal, H.R., Nandi, A.K., Halappanavar, M. (2021). “Risk-averse bi-level stochastic network interdiction model for cyber-security risk management”, International Journal of Critical Infrastructure Protection, 32 (-), -. DOI: 10.1016/j.ijcip.2021.100408
Chen, Y., Bao, J., Xu, Z., Gao, P., Yan, L., Kim, S., Wang, W. (2021). “A two-dimensional analytical unit cell model for redox flow battery evaluation and optimization”, Journal of Power Sources, 506 (-), -. DOI: 10.1016/j.jpowsour.2021.230192
Li, A., Fang, B., Granade, C., Prawiroatmodjo, G., Heim, B., Roetteler, M., Krishnamoorthy, S. (2021). “SV-Sim: Scalable PGAS-based state vector simulation of quantum circuits”, International Conference for High Performance Computing, Networking, Storage and Analysis, SC, - (-), -. DOI: 10.1145/3458817.3476169
Waheed, E., Urquijo, P., Ferlewicz, D., Adachi, I., Adamczyk, K., Aihara, H., Al Said, S., Asner, D.M., Atmacan, H., Aushev, T., Ayad, R., Babu, V., Badhrees, I., Bansal, V., Behera, P., Belenõ, C., Bernlochner, F., Bhuyan, B., Bilka, T., Biswal, J., Bobrov, A., Bonvicini, G., Bozek, A., Bračko, M., Browder, T.E., Campajola, M., Červenkov, D., Chang, P., Chekelian, V., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Di Carlo, S., DoleŽal, Z., Dong, T.V., Dossett, D., Eidelman, S., Epifanov, D., Fast, J.E., Fulsom, B.G., Garg, R., Gaur, V., Garmash, A., Giri, A., Goldenzweig, P., Golob, B., Grzymkowska, O., Haba, J., Hara, T., Hayasaka, K., Hayashii, H., Hedges, M.T., Hou, W.-S., Hsu, C.-L., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jeon, H.B., Jia, S., Jin, Y., Joffe, D., Joo, K.K., Kahn, J., Kaliyar, A.B., Karyan, G., Kawasaki, T., Kim, C.H., Kim, D.Y., Kim, K.T., Kim, S.H., Kinoshita, K., Kodyš, P., Korpar, S., Kotchetkov, D., KriŽan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kulasiri, R., Kuzmin, A., Kwon, Y.-J., Lange, J.S., Lee, J.Y., Lee, S.C., Li, C.H., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Lu, P.-C., Luo, T., MacNaughton, J., Masuda, M., Matvienko, D., Merola, M., Metzner, F., Miyabayashi, K., Miyata, H., Mizuk, R., Mohanty, G.B., Mori, T., Mussa, R., Nakamura, I., Nakao, M., Nath, K.J., Natkaniec, Z., Nayak, M., Niiyama, M., Nisar, N.K., Nishida, S., Nishimura, K., Ogawa, S., Ono, H., Pakhlov, P., Pakhlova, G., Pal, B., Pardi, S., Park, H., Park, S.-H., Paul, S., Pestotnik, R., Piilonen, L.E., Popov, V., Prencipe, E., Prim, M., Rostomyan, A., Russo, G., Sakai, Y., Salehi, M., Sandilya, S., Sanuki, T., Savinov, V., Schneider, O., Schnell, G., Schueler, J., Schwanda, C., Seino, Y., Senyo, K., Seon, O., Sevior, M.E., Shebalin, V., Shen, C.P., Shiu, J.-G., Shwartz, B., Simon, F., Sokolov, A., Solovieva, E., Stanič, S., Starič, M., Stottler, Z.S., Strube, J.F., Sumiyoshi, T., Takizawa, M., Tanida, K., Tenchini, F., Trabelsi, K., Uchida, M., Uglov, T., Unno, Y., Uno, S., Usov, Y., Varner, G., Varvell, K.E., Vinokurova, A., Vossen, A., Wang, C.H., Wang, M.-Z., Wang, P., Won, E., Yang, S.B., Ye, H., Yusa, Y., Zhang, Z.P., Zhilich, V., Zhukova, V. (2021). “Erratum: Measurements of the branching fractions ofΛc+→pηandΛc+→pπ0decays at Belle (Physical Review D (2019) 100 (052007) DOI: 10.1103/PhysRevD.100.052007)”, Physical Review D, 103 (7), -. DOI: 10.1103/PhysRevD.103.079901
Kulkarni, S.S., Gupta, V., Ortiz, A., Das, H., Upadhyay, P., Barker, E., Herling, D. (2021). “Determining cohesive parameters for modeling interfacial fracture in dissimilar-metal friction stir welded joints”, International Journal of Solids and Structures, 216 (-), 200-210. DOI: 10.1016/j.ijsolstr.2021.01.023
Das, H., Upadhyay, P., Kulkarni, S.S., Choi, W. (2021). “Dissimilar Joining of ZEK100 and AA6022 for Automotive Application”, Minerals, Metals and Materials Series, - (-), 115-124. DOI: 10.1007/978-3-030-65265-4_11
Bel, O., Pata, J., Vlimant, J.-R., Tallent, N., Balcas, J., Spiropulu, M. (2021). “Diolkos: Improving ethernet throughput through dynamic port selection”, Proceedings of the 18th ACM International Conference on Computing Frontiers 2021, CF 2021, - (-), 83-92. DOI: 10.1145/3457388.3458659
Bel, O., Mukhopadhyay, S., Tallent, N., Nawab, F., Long, D. (2021). “WinnowML: Stable feature selection for maximizing prediction accuracy of time-based system modeling”, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, - (-), 3031-3041. DOI: 10.1109/BigData52589.2021.9671602
Liu, X.T., Firoz, J., Lumsdaine, A., Joslyn, C., Aksoy, S., Praggastis, B., Gebremedhin, A.H. (2021). “Parallel Algorithms for Efficient Computation of High-Order Line Graphs of Hypergraphs”, Proceedings - 2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics, HiPC 2021, - (-), 312-321. DOI: 10.1109/HiPC53243.2021.00045
Weitz, K.K., Smith, M.L., Hixson, K.K., Hill, E.A., Jansson, J.K., Hofmockel, K.S., Lipton, M.S. (2021). “Real-Time Mass Spectrometry Measurements of Respiration Rates in Biological Systems”, Journal of the American Society for Mass Spectrometry, 32 (3), 648-652. DOI: 10.1021/jasms.0c00251
Wehle, S., Adachi, I., Adamczyk, K., Aihara, H., Asner, D.M., Atmacan, H., Aulchenko, V., Aushev, T., Ayad, R., Babu, V., Behera, P., Berger, M., Bhardwaj, V., Biswal, J., Bozek, A., Bračko, M., Browder, T.E., Campajola, M., Cao, L., Chang, M.-C., Chen, A., Cheon, B.G., Chilikin, K., Cho, K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Dash, N., De Nardo, G., Di Capua, F., Dubey, S., Eidelman, S., Epifanov, D., Ferber, T., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Greenwald, D., Guan, Y., Haba, J., Hartbrich, O., Hayasaka, K., Hayashii, H., Hedges, M.T., Higuchi, T., Hou, W.-S., Hsu, C.-L., Iijima, T., Inami, K., Inguglia, G., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jia, S., Jin, Y., Joffe, D., Kahn, J., Kaliyar, A.B., Karyan, G., Kichimi, H., Kim, D.Y., Kim, K.T., Kim, S.H., Kim, Y.-K., Kinoshita, K., Komarov, I., Korpar, S., Kotchetkov, D., Kroeger, R., Krokovny, P., Kuhr, T., Kulasiri, R., Kumar, R., Kumara, K., Kuzmin, A., Kwon, Y.-J., Lange, J.S., Lee, J.Y., Lee, S.C., Li, Y.B., Libby, J., Liptak, Z., Liventsev, D., Luo, T., Macnaughton, J., Masuda, M., Matsuda, T., McNeil, J.T., Merola, M., Metzner, F., Miyata, H., Mizuk, R., Mohanty, G.B., Moon, T.J., Mussa, R., Nakao, M., Natochii, A., Nayak, M., Niebuhr, C., Niiyama, M., Nisar, N.K., Nishida, S., Ogawa, K., Ogawa, S., Ono, H., Onuki, Y., Pakhlov, P., Pakhlova, G., Park, H., Park, S.-H., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Resmi, P.K., Ritter, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sakai, Y., Sandilya, S., Sangal, A., Santelj, L., Savinov, V., Schneider, O., Schnell, G., Schueler, J., Schwanda, C., Schwartz, A.J., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Shiu, J.-G., Shwartz, B., Solovieva, E., Starič, M., Strube, J.F., Sumiyoshi, T., Sutcliffe, W., Takizawa, M., Tamponi, U., Tanida, K., Tao, Y., Tenchini, F., Trabelsi, K., Uchida, M., Uglov, T., Unno, Y., Uno, S., Ushiroda, Y., Vahsen, S.E., Van Tonder, R., Varner, G., Varvell, K.E., Vorobyev, V., Wang, C.H., Wang, M.-Z., Wang, P., Wang, X.L., Won, E., Xu, X., Yang, S.B., Ye, H., Yin, J.H., Yuan, C.Z., Zhang, Z.P., Zhilich, V., Zhukova, V., Zhulanov, V. (2021). “Test of Lepton-Flavor Universality in B →k∗ℓ+ℓ- Decays at Belle”, Physical Review Letters, 126 (16), -. DOI: 10.1103/PhysRevLett.126.161801
Howard, A.A., Tartakovsky, A.M. (2021). “A conservative level set method for N-phase flows with a free-energy-based surface tension model”, Journal of Computational Physics, 426 (-), -. DOI: 10.1016/j.jcp.2020.109955
Cromwell, E., Shuai, P., Jiang, P., Coon, E.T., Painter, S.L., Moulton, J.D., Lin, Y., Chen, X. (2021). “Estimating Watershed Subsurface Permeability From Stream Discharge Data Using Deep Neural Networks”, Frontiers in Earth Science, 9 (-), -. DOI: 10.3389/feart.2021.613011
Purohit, S., MacKey, P., Smith, W., Dunning, M., Orren, M.J., Langlie-Miletich, T.M., Deshmukh, R.D., Bohra, A., Martin, T.J., Aimone, D.J., Chin, G. (2021). “Transactional Knowledge Graph Generation to Model Adversarial Activities”, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, - (-), 2662-2671. DOI: 10.1109/BigData52589.2021.9672016
Li, X., Gao, P., Lai, Y.-Y., Bazak, J.D., Hollas, A., Lin, H.-Y., Murugesan, V., Zhang, S., Cheng, C.-F., Tung, W.-Y., Lai, Y.-T., Feng, R., Wang, J., Wang, C.-L., Wang, W., Zhu, Y. (2021). “Symmetry-breaking design of an organic iron complex catholyte for a long cyclability aqueous organic redox flow battery”, Nature Energy, 6 (9), 873-881. DOI: 10.1038/s41560-021-00879-6
Yu, Q., Chatterjee, S., Roche, K.J., Po, G., Marian, J. (2021). “Coupling crystal plasticity and stochastic cluster dynamics models of irradiation damage in tungsten”, Modelling and Simulation in Materials Science and Engineering, 29 (5), -. DOI: 10.1088/1361-651X/ac01ba
Ruehl, K., Topper, M.B.R., Faltas, M., Sivaraman, C., Lansing, C., Weers, J., Driscoll, F. (2021). “Introducing primre’s mre software knowledge hub (February 2021)”, Proceedings of the European Wave and Tidal Energy Conference, - (-), 2178-2178-9.
Kulkarni, S.S., Truster, T., Das, H., Gupta, V., Soulami, A., Upadhyay, P., Herling, D. (2021). “Microstructure-Based Modeling of Friction Stir Welded Joint of Dissimilar Metals Using Crystal Plasticity”, Journal of Manufacturing Science and Engineering, Transactions of the ASME, 143 (12), -. DOI: 10.1115/1.4051190
Drgoňa, J., Tuor, A.R., Chandan, V., Vrabie, D.L. (2021). “Physics-constrained deep learning of multi-zone building thermal dynamics”, Energy and Buildings, 243 (-), -. DOI: 10.1016/j.enbuild.2021.110992
Zhang, J.J., Agostini, N.B., Song, S., Tan, C., Limaye, A., Amatya, V., Manzano, J., Minutoli, M., Castellana, V.G., Tumeo, A., Wei, G.-Y., Brooks, D. (2021). “Towards automatic and agile AI/ML accelerator design with end-to-end synthesis”, Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors, 2021- (-), 218-225. DOI: 10.1109/ASAP52443.2021.00040
D'Elia, M., Gulian, M., Olson, H., Karniadakis, G.E. (2021). “Towards a unified theory of fractional and nonlocal vector calculus”, Fractional Calculus and Applied Analysis, 24 (5), 1301-1355. DOI: 10.1515/fca-2021-0057
Gentile, A.A., Flynn, B., Knauer, S., Wiebe, N., Paesani, S., Granade, C.E., Rarity, J.G., Santagati, R., Laing, A. (2021). “Learning models of quantum systems from experiments”, Nature Physics, 17 (7), 837-843. DOI: 10.1038/s41567-021-01201-7
McNeil, J.T., Yelton, J., Bennett, J., Adachi, I., Adamczyk, K., Ahn, J.K., Aihara, H., Al Said, S., Asner, D.M., Atmacan, H., Aulchenko, V., Aushev, T., Ayad, R., Babu, V., Bahinipati, S., Behera, P., Bessner, M., Bilka, T., Biswal, J., Bobrov, A., Bonvicini, G., Bozek, A., Bračko, M., Browder, T.E., Campajola, M., Cao, L., Červenkov, D., Chang, P., Chekelian, V., Chen, A., Cheon, B.G., Chilikin, K., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., Dash, N., De Nardo, G., Dhamija, R., Di Capua, F., DoleŽal, Z., Dong, T.V., Eidelman, S., Ferber, T., Fulsom, B.G., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Golob, B., Grzymkowska, O., Guan, Y., Gudkova, K., Hadjivasiliou, C., Hayasaka, K., Hayashii, H., Hou, W.-S., Hsu, C.-L., Huang, K., Inami, K., Ishikawa, A., Itoh, R., Iwasaki, M., Jacobs, W.W., Jeon, H.B., Jia, S., Jin, Y., Joo, K.K., Kaliyar, A.B., Kang, K.H., Karyan, G., Kichimi, H., Kim, B.H., Kim, C.H., Kim, D.Y., Kim, S.H., Kim, Y.-K., Kinoshita, K., Kodyš, P., Konno, T., Korpar, S., KriŽan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kulasiri, R., Kumar, M., Kumara, K., Kwon, Y.-J., Lalwani, K., Lee, S.C., Li, J., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liptak, Z., Liventsev, D., Macqueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mohanty, S., Moon, T.J., Mussa, R., Nakao, M., Natochii, A., Nayak, L., Nayak, M., Niiyama, M., Nisar, N.K., Nishida, S., Ogawa, K., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlova, G., Pardi, S., Park, H., Park, S.-H., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sakai, Y., Sandilya, S., Sangal, A., Santelj, L., Savinov, V., Schnell, G., Schueler, J., Schwanda, C., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shebalin, V., Shiu, J.-G., Simon, F., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tao, Y., Tenchini, F., Uchida, M., Uehara, S., Unno, Y., Uno, S., Van Tonder, R., Varner, G., Vinokurova, A., Vorobyev, V., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Watanabe, M., Watanuki, S., Won, E., Xu, X., Yabsley, B.D., Yan, W., Ye, H., Yin, J.H., Zhang, Z.P., Zhilich, V., Zhukova, V. (2021). “Measurement of the resonant and nonresonant branching ratios in Ξc0 → Ξ0K+K-”, Physical Review D, 103 (11), -. DOI: 10.1103/PhysRevD.103.112002
Huggins, W.J., McClean, J.R., Rubin, N.C., Jiang, Z., Wiebe, N., Whaley, K.B., Babbush, R. (2021). “Efficient and noise resilient measurements for quantum chemistry on near-term quantum computers”, npj Quantum Information, 7 (1), -. DOI: 10.1038/s41534-020-00341-7
Das, S.S., Serra, E., Halappanavar, M., Pothen, A., Al-Shaer, E. (2021). “V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities”, 2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021, - (-), -. DOI: 10.1109/DSAA53316.2021.9564227
Stanitzki, M., Strube, J. (2021). “Performance of Julia for High Energy Physics Analyses”, Computing and Software for Big Science, 5 (1), -. DOI: 10.1007/s41781-021-00053-3
Kolev, T., Fischer, P., Min, M., Dongarra, J., Brown, J., Dobrev, V., Warburton, T., Tomov, S., Shephard, M.S., Abdelfattah, A., Barra, V., Beams, N., Camier, J.-S., Chalmers, N., Dudouit, Y., Karakus, A., Karlin, I., Kerkemeier, S., Lan, Y.-H., Medina, D., Merzari, E., Obabko, A., Pazner, W., Rathnayake, T., Smith, C.W., Spies, L., Swirydowicz, K., Thompson, J., Tomboulides, A., Tomov, V. (2021). “Efficient exascale discretizations: High-order finite element methods”, International Journal of High Performance Computing Applications, 35 (6), 527-552. DOI: 10.1177/10943420211020803
Oster, M.R., Chatterjee, S., Ganguly, A.R., Thomas, D.G., Watson, J., Corbiani, D., Webster, J., Pan, F., Gattis, B., Haynie, K. (2021). “A Tri-Level Optimization Model for Interdependent Infrastructure Network Resilience Against Compound Hazard Events”, 2021 IEEE Virtual IEEE International Symposium on Technologies for Homeland Security, HST 2021, - (-), -. DOI: 10.1109/HST53381.2021.9619824
Müller, M.P., Adlam, E., Masanes, L., Wiebe, N. (2021). “Correction to: Thermalization and Canonical Typicality in Translation-Invariant Quantum Lattice Systems (Communications in Mathematical Physics, (2015), 340, 2, (499-561), 10.1007/s00220-015-2473-y)”, Communications in Mathematical Physics, 383 (3), 2309-2312. DOI: 10.1007/s00220-021-04014-0
Tong, Y., An, D., Wiebe, N., Lin, L. (2021). “Fast inversion, preconditioned quantum linear system solvers, fast Green's-function computation, and fast evaluation of matrix functions”, Physical Review A, 104 (3), -. DOI: 10.1103/PhysRevA.104.032422
Bhattacharya, A., Ma, X., Vrabie, D.L. (2021). “Model Predictive Control of Discrete-Continuous Energy Systems via Generalized Disjunctive Programming”, IFAC-PapersOnLine, 54 (20), 913-918. DOI: 10.1016/j.ifacol.2021.11.288
Kautz, E.J., Shahrezaei, S., Athon, M., Frank, M., Schemer-Kohrn, A., Soulami, A., Lavender, C., Joshi, V.V., Devaraj, A. (2021). “Evaluating the microstructure and origin of nonmetallic inclusions in as-cast U-10Mo fuel”, Journal of Nuclear Materials, 554 (-), -. DOI: 10.1016/j.jnucmat.2021.152949
Aksoy, S.G., Bruillard, P., Young, S.J., Raugas, M. (2021). “Ramanujan graphs and the spectral gap of supercomputing topologies”, Journal of Supercomputing, 77 (2), 1177-1213. DOI: 10.1007/s11227-020-03291-1
Subasi, O., Chatterjee, S. (2021). “Efficient sampling of complex interdependent and multiplex networks”, Journal of Complex Networks, 9 (5), -. DOI: 10.1093/comnet/cnab029
Huang, S., Wang, J., Fu, Y., Zuo, W., Hinkelman, K., Kaiser, R.M., He, D., Vrabie, D. (2021). “An open-source virtual testbed for a real Net-Zero Energy Community”, Sustainable Cities and Society, 75 (-), -. DOI: 10.1016/j.scs.2021.103255
Abhyankar, S., Huang, R., Jin, S., Palmer, B., Perkins, W., Chen, Y. (2021). “Implicit - Integration dynamics simulation with the GridPACK framework”, IEEE Power and Energy Society General Meeting, 2021- (-), -. DOI: 10.1109/PESGM46819.2021.9637909
Zhang, X., Fu, X., Zhuang, D., Xie, C., Song, S.L. (2021). “Enabling Highly Efficient Capsule Networks Processing through Software-Hardware Co-Design”, IEEE Transactions on Computers, 70 (4), 495-510. DOI: 10.1109/TC.2021.3056929
Peng, B., Panyala, A., Kowalski, K., Krishnamoorthy, S. (2021). “GFCCLib: Scalable and efficient coupled-cluster Green's function library for accurately tackling many-body electronic structure problems”, Computer Physics Communications, 265 (-), -. DOI: 10.1016/j.cpc.2021.108000
Chen, X., Duan, J., Karniadakis, G.E.M. (2021). “Learning and meta-learning of stochastic advection-diffusion-reaction systems from sparse measurements”, European Journal of Applied Mathematics, 32 (3), 397-420. DOI: 10.1017/S0956792520000169
Heindel, J.P., Xantheas, S.S. (2021). “Molecular Dynamics Driven by the Many-Body Expansion (MBE-MD)”, Journal of Chemical Theory and Computation, 17 (12), 7341-7352. DOI: 10.1021/acs.jctc.1c00780
Van Tonder, R., Cao, L., Sutcliffe, W., Welsch, M., Bernlochner, F.U., Adachi, I., Aihara, H., Asner, D.M., Aushev, T., Ayad, R., Babu, V., Behera, P., Belous, K., Bennett, J., Bessner, M., Bhardwaj, V., Bhuyan, B., Bilka, T., Biswal, J., Bobrov, A., Bodrov, D., Borah, J., Bozek, A., Bračko, M., Branchini, P., Budano, A., Campajola, M., Červenkov, D., Chang, M.-C., Chang, P., Chekelian, V., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Cho, S.-J., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., De Nardo, G., De Pietro, G., Dhamija, R., Di Capua, F., Dingfelder, J., DoleŽal, Z., Dong, T.V., Dubey, S., Epifanov, D., Ferber, T., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Giri, A., Goldenzweig, P., Graziani, E., Gu, T., Guan, Y., Gudkova, K., Hadjivasiliou, C., Halder, S., Hartbrich, O., Hayasaka, K., Hayashii, H., Hou, W.-S., Hsu, C.-L., Iijima, T., Inami, K., Ishikawa, A., Itoh, R., Iwasaki, M., Jacobs, W.W., Jia, S., Jin, Y., Joo, K.K., Kaliyar, A.B., Kang, K.H., Karyan, G., Kichimi, H., Kiesling, C., Kim, C.H., Kim, D.Y., Kim, K.-H., Kim, Y.-K., Kinoshita, K., Kodyš, P., Konno, T., Korpar, S., Kovalenko, E., KriŽan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kumar, M., Kumar, R., Kumara, K., Kuzmin, A., Kwon, Y.-J., Lange, J.S., Laurenza, M., Lee, S.C., Lewis, P., Li, C.H., Li, J., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Macqueen, C., Masuda, M., Matsuda, T., Matvienko, D., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mohanty, S., Mrvar, M., Nakao, M., Natkaniec, Z., Natochii, A., Nayak, L., Nisar, N.K., Nishida, S., Nishimura, K., Ogawa, K., Ogawa, S., Ono, H., Oskin, P., Pakhlov, P., Pakhlova, G., Pang, T., Pardi, S., Park, H., Park, S.-H., Passeri, A., Patra, S., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Rabusov, A., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Santelj, L., Savinov, V., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shen, C.P., Shiu, J.-G., Sokolov, A., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Trabelsi, K., Uchida, M., Uglov, T., Unno, Y., Uno, S., Urquijo, P., Vahsen, S.E., Varner, G., Varvell, K.E., Waheed, E., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Wang, X.L., Watanabe, M., Watanuki, S., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yin, J.H., Zhang, Z.P., Zhilich, V., Zhukova, V. (2021). “Measurements of q2 moments of inclusive B →xcℓ+νℓ decays with hadronic tagging”, Physical Review D, 104 (11), -. DOI: 10.1103/PhysRevD.104.112011
Kordilla, J., Dentz, M., Tartakovsky, A.M. (2021). “Numerical and Analytical Modeling of Flow Partitioning in Partially Saturated Fracture Networks”, Water Resources Research, 57 (4), -. DOI: 10.1029/2020WR028775
Drgoňa, J., Mukherjee, S., Zhang, J., Liu, F., Halappanavar, M. (2021). “On the Stochastic Stability of Deep Markov Models”, Advances in Neural Information Processing Systems, 29 (-), 24033-24047. DOI: 10.48550/arXiv.2111.04601
Jeong, G., Kestor, G., Chatarasi, P., Parashar, A., Tsai, P.-A., Rajamanickam, S., Gioiosa, R., Krishna, T. (2021). “Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators”, Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT, 2021- (-), 30-44. DOI: 10.1109/PACT52795.2021.00010
Ghosh, P., Krishnamoorthy, S., Kalyanaraman, A. (2021). “PaKman: A Scalable Algorithm for Generating Genomic Contigs on Distributed Memory Machines”, IEEE Transactions on Parallel and Distributed Systems, 32 (5), 1191-1209. DOI: 10.1109/TPDS.2020.3043241
Geng, T., Li, A., Wang, T., Wu, C., Li, Y., Shi, R., Wu, W., Herbordt, M. (2021). “O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference”, IEEE Transactions on Parallel and Distributed Systems, 32 (1), 199-213. DOI: 10.1109/TPDS.2020.3013637
Ferrandi, F., Castellana, V.G., Curzel, S., Fezzardi, P., Fiorito, M., Lattuada, M., Minutoli, M., Pilato, C., Tumeo, A. (2021). “Invited: Bambu: an Open-Source Research Framework for the High-Level Synthesis of Complex Applications”, Proceedings - Design Automation Conference, 2021- (-), 1327-1330. DOI: 10.1109/DAC18074.2021.9586110
Palesi, M., Tumeo, A. (2021). “Message from the General Co-Chairs”, Proceedings of the 18th ACM International Conference on Computing Frontiers 2021, CF 2021, - (-), -. DOI: 10.1145/3457388
Jain, M., Gupta, K., Sathanur, A., Chandan, V., Halappanavar, M.M. (2021). “Transfer-Learnt Models for Predicting Electricity Consumption in Buildings with Limited and Sparse Field Data”, Proceedings of the American Control Conference, 2021- (-), 2887-2894. DOI: 10.23919/ACC50511.2021.9483228
Chen, Y., Xu, Z., Wang, C., Bao, J., Koeppel, B., Yan, L., Gao, P., Wang, W. (2021). “Analytical modeling for redox flow battery design”, Journal of Power Sources, 482 (-), -. DOI: 10.1016/j.jpowsour.2020.228817
Kwak, W.-J., Lim, H.-S., Gao, P., Feng, R., Chae, S., Zhong, L., Read, J., Engelhard, M.H., Xu, W., Zhang, J.-G. (2021). “Effects of Fluorinated Diluents in Localized High-Concentration Electrolytes for Lithium–Oxygen Batteries”, Advanced Functional Materials, 31 (2), -. DOI: 10.1002/adfm.202002927
Li, S.X., Li, L.K., Shen, C.P., Adachi, I., Aihara, H., Al Said, S., Asner, D.M., Aushev, T., Behera, P., Belous, K., Bennett, J., Bessner, M., Bhardwaj, V., Bhuyan, B., Bilka, T., Biswal, J., Bobrov, A., Bodrov, D., Borah, J., Bozek, A., Bračko, M., Branchini, P., Browder, T.E., Budano, A., Campajola, M., Červenkov, D., Chang, M.-C., Chang, P., Chen, A., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Cho, S.-J., Choi, S.-K., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Das, S., De Nardo, G., De Pietro, G., Dhamija, R., Di Capua, F., Doležal, Z., Dong, T.V., Epifanov, D., Ferber, T., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Giri, A., Goldenzweig, P., Golob, B., Graziani, E., Gu, T., Guan, Y., Gudkova, K., Hadjivasiliou, C., Halder, S., Hartbrich, O., Hayasaka, K., Hayashii, H., Hou, W.-S., Hsu, C.-L., Iijima, T., Inami, K., Ishikawa, A., Itoh, R., Iwasaki, M., Iwasaki, Y., Jacobs, W.W., Jia, S., Jin, Y., Joo, K.K., Kaliyar, A.B., Kang, K.H., Kato, Y., Kichimi, H., Kim, C.H., Kim, D.Y., Kim, K.-H., Kim, K.T., Kim, Y.-K., Kinoshita, K., Kodyš, P., Konno, T., Korobov, A., Korpar, S., Kovalenko, E., Križan, P., Kroeger, R., Krokovny, P., Kumar, R., Kumara, K., Kwon, Y.-J., Lai, Y.-T., Lange, J.S., Laurenza, M., Lee, S.C., Li, J., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., MacQueen, C., Masuda, M., Matsuda, T., Merola, M., Miyabayashi, K., Mizuk, R., Mussa, R., Nakao, M., Natochii, A., Nayak, L., Nayak, M., Niiyama, M., Nisar, N.K., Nishida, S., Ogawa, S., Ono, H., Oskin, P., Pakhlov, P., Pakhlova, G., Pang, T., Park, H., Park, S.-H., Patra, S., Paul, S., Pedlar, T.K., Pestotnik, R., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Röhrken, M., Rostomyan, A., Rout, N., Russo, G., Sahoo, D., Sandilya, S., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schwanda, C., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shiu, J.-G., Simon, F., Sokolov, A., Solovieva, E., Starič, M., Stottler, Z.S., Strube, J.F., Sumihama, M., Sumiyoshi, T., Sutcliffe, W., Takizawa, M., Tamponi, U., Tanida, K., Tenchini, F., Uchida, M., Uglov, T., Unno, Y., Uno, K., Uno, S., Urquijo, P., Usov, Y., Vahsen, S.E., Van Tonder, R., Varner, G., Vinokurova, A., Waheed, E., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Won, E., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yelton, J., Yin, J.H., Yusa, Y., Zhang, Z.P., Zhilich, V., Zhukova, V. (2021). “Measurement of the branching fraction of decay at Belle”, Physical Review D, 104 (7), -. DOI: 10.1103/PhysRevD.104.072008
Sathanur, A.V., Khan, A. (2021). “Scalable Approaches to Selecting Key Entities in Large Networked Infrastructure Systems”, Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, - (-), 1731-1738. DOI: 10.1109/BigData52589.2021.9671900
Kharazmi, E., Zhang, Z., Karniadakis, G.E.M. (2021). “hp-VPINNs: Variational physics-informed neural networks with domain decomposition”, Computer Methods in Applied Mechanics and Engineering, 374 (-), -. DOI: 10.1016/j.cma.2020.113547
Bauman, N.P., Liu, H., Bylaska, E.J., Krishnamoorthy, S., Low, G.H., Granade, C.E., Wiebe, N., Baker, N.A., Peng, B., Roetteler, M., Troyer, M., Kowalski, K. (2021). “Toward Quantum Computing for High-Energy Excited States in Molecular Systems: Quantum Phase Estimations of Core-Level States”, Journal of Chemical Theory and Computation, 17 (1), 201-210. DOI: 10.1021/acs.jctc.0c00909
Hixson, K.K., Marques, J.V., Wendler, J.P., McDermott, J.E., Weitz, K.K., Clauss, T.R., Monroe, M.E., Moore, R.J., Brown, J., Lipton, M.S., Bell, C.J., Paša-Tolić, L., Davin, L.B., Lewis, N.G. (2021). “New Insights Into Lignification via Network and Multi-Omics Analyses of Arogenate Dehydratase Knock-Out Mutants in Arabidopsis thaliana”, Frontiers in Plant Science, 12 (-), -. DOI: 10.3389/fpls.2021.664250
Geng, T., Wu, C., Tan, C., Xie, C., Guo, A., Haghi, P., He, S.Y., Li, J., Herbordt, M., Li, A. (2021). “A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs”, 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021, - (-), -. DOI: 10.1109/HPEC49654.2021.9622877
Ortiz Marrero, C., Kieferová, M., Wiebe, N. (2021). “Entanglement-Induced Barren Plateaus”, PRX Quantum, 2 (4), -. DOI: 10.1103/PRXQuantum.2.040316
Jia, H., Xu, Y., Zhang, X., Burton, S.D., Gao, P., Matthews, B.E., Engelhard, M.H., Han, K.S., Zhong, L., Wang, C., Xu, W. (2021). “Advanced Low-Flammable Electrolytes for Stable Operation of High-Voltage Lithium-Ion Batteries”, Angewandte Chemie - International Edition, 60 (23), 12999-13006. DOI: 10.1002/anie.202102403
Mueller, J.J., Hu, X., Sun, X., Ren, Y., Choi, K., Barker, E., Speer, J.G., Matlock, D.K., De Moor, E. (2021). “Austenite formation and cementite dissolution during intercritical annealing of a medium-manganese steel from a martensitic condition”, Materials and Design, 203 (-), -. DOI: 10.1016/j.matdes.2021.109598
St. John, J., Herwig, C., Kafkes, D., Mitrevski, J., Pellico, W.A., Perdue, G.N., Quintero-Parra, A., Schupbach, B.A., Seiya, K., Tran, N., Schram, M., Duarte, J.M., Huang, Y., Keller, R. (2021). “Real-time artificial intelligence for accelerator control: A study at the Fermilab Booster”, Physical Review Accelerators and Beams, 24 (10), -. DOI: 10.1103/PhysRevAccelBeams.24.104601
Wang, J., Huang, S., Zuo, W., Vrabie, D. (2021). “Occupant preference-aware load scheduling for resilient communities”, Energy and Buildings, 252 (-), -. DOI: 10.1016/j.enbuild.2021.111399
Cao, X., Gao, P., Ren, X., Zou, L., Engelhard, M.H., Matthews, B.E., Hu, J., Niu, C., Liu, D., Arey, B.W., Wang, C., Xiao, J., Liu, J., Xu, W., Zhang, J.-G. (2021). “Effects of fluorinated solvents on electrolyte solvation structures and electrode/electrolyte interphases for lithium metal batteries”, Proceedings of the National Academy of Sciences of the United States of America, 118 (9), -. DOI: 10.1073/pnas.2020357118
Lu, L., Meng, X., Mao, Z., Karniadakis, G.E. (2021). “DeepXDE: A deep learning library for solving differential equations”, SIAM Review, 63 (1), 208-228. DOI: 10.1137/19M1274067
White, R.R., Wunder, N., Guba, N., Dinh, H., Van Allsburg, K.M., Munch, K., Sivaraman, C., Pailing, C. (2021). “Energy Material Network Data Hubs Software Platforms for Advancing Collaborative Energy Materials Research”, International Journal of Advanced Computer Science and Applications, 12 (6), 657-667. DOI: 10.14569/IJACSA.2021.0120677
Cao, L., Sutcliffe, W., Van Tonder, R., Bernlochner, F.U., Adachi, I., Aihara, H., Asner, D.M., Aushev, T., Ayad, R., Babu, V., Bahinipati, S., Behera, P., Belous, K., Bennett, J., Bessner, M., Bilka, T., Biswal, J., Bobrov, A., Bračko, M., Branchini, P., Browder, T.E., Budano, A., Campajola, M., Červenkov, D., Chang, M.-C., Chang, P., Cheon, B.G., Chilikin, K., Cho, H.E., Cho, K., Cho, S.-J., Choi, Y., Choudhury, S., Cinabro, D., Cunliffe, S., Czank, T., Dash, N., De Pietro, G., Dhamija, R., Di Capua, F., Dingfelder, J., DoleŽal, Z., Dong, T.V., Dubey, S., Epifanov, D., Ferber, T., Ferlewicz, D., Frey, A., Fulsom, B.G., Garg, R., Gaur, V., Gabyshev, N., Garmash, A., Giri, A., Goldenzweig, P., Gu, T., Gudkova, K., Halder, S., Hara, T., Hartbrich, O., Hayasaka, K., Hernandez Villanueva, M., Hou, W.-S., Hsu, C.-L., Inami, K., Ishikawa, A., Itoh, R., Iwasaki, M., Jacobs, W.W., Jang, E.-J., Jia, S., Jin, Y., Joo, K.K., Kahn, J., Kang, K.H., Kichimi, H., Kiesling, C., Kim, C.H., Kim, D.Y., Kim, S.H., Kim, Y.-K., Kimmel, T.D., Kinoshita, K., Kodyš, P., Konno, T., Korobov, A., Korpar, S., Kovalenko, E., KriŽan, P., Kroeger, R., Krokovny, P., Kuhr, T., Kulasiri, R., Kumar, M., Kumar, R., Kumara, K., Kuzmin, A., Kwon, Y.-J., Lee, S.C., Li, C.H., Li, J., Li, L.K., Li, Y.B., Li Gioi, L., Libby, J., Lieret, K., Liventsev, D., Macqueen, C., Masuda, M., Merola, M., Metzner, F., Miyabayashi, K., Mizuk, R., Mohanty, G.B., Mohanty, S., Mrvar, M., Nakao, M., Natochii, A., Nayak, L., Niiyama, M., Nisar, N.K., Nishida, S., Nishimura, K., Ogawa, S., Ono, H., Onuki, Y., Oskin, P., Pakhlova, G., Pardi, S., Park, H., Park, S.-H., Passeri, A., Patra, S., Paul, S., Pedlar, T.K., Piilonen, L.E., Podobnik, T., Popov, V., Prencipe, E., Prim, M.T., Röhrken, M., Rostomyan, A., Rout, N., Rozanska, M., Russo, G., Sahoo, D., Sandilya, S., Sangal, A., Santelj, L., Sanuki, T., Savinov, V., Schnell, G., Schueler, J., Schwanda, C., Schwartz, A.J., Seino, Y., Senyo, K., Sevior, M.E., Shapkin, M., Sharma, C., Shen, C.P., Shiu, J.-G., Shwartz, B., Simon, F., Sokolov, A., Solovieva, E., Starič, M., Strube, J.F., Sumihama, M., Sumiyoshi, T., Takizawa, M., Tamponi, U., Tanida, K., Tao, Y., Tenchini, F., Trabelsi, K., Uchida, M., Uglov, T., Uno, S., Urquijo, P., Vahsen, S.E., Varner, G., Varvell, K.E., Waheed, E., Wang, C.H., Wang, E., Wang, M.-Z., Wang, P., Wang, X.L., Watanabe, M., Watanuki, S., Werbycka, O., Won, E., Yabsley, B.D., Yan, W., Yang, S.B., Ye, H., Yin, J.H., Zhang, Z.P., Zhilich, V., Zhukova, V. (2021). “Measurement of Differential Branching Fractions of Inclusive B →xuℓ+νℓ Decays”, Physical Review Letters, 127 (26), -. DOI: 10.1103/PhysRevLett.127.261801
2020
Darulová, J. Pauka, S.J. Wiebe, N. Chan, K.W. Gardener, G.C. Manfra, M.J. Cassidy, M.C. Troyer, M. (2020). ”Autonomous Tuning and Charge-State Detection of Gate-Defined Quantum Dots”, Physical Review Applied, 13 (5). DOI: 10.1103/PhysRevApplied.13.054005.
Berry, D.W. Childs, A.M. Su, Y. Wang, X. Wiebe, N. (2020). ”Time-dependent hamiltonian simulation with L1-norm scaling”, Quantum, 4. DOI: 10.22331/q-2020-04-20-254.
Palmer, B.J. Chun, J. Morris, J.F. Mundy, C.J. Schenter, G.K. (2020). ”Correlation function approach for diffusion in confined geometries”, Physical Review E, 102 (2). DOI: 10.1103/PhysRevE.102.022129.
Kwak, W.-J. Chae, S. Feng, R. Gao, P. Read, J. Engelhard, M.H. Zhong, L. Xu, W. Zhang, J.-G. (2020). ”Optimized Electrolyte with High Electrochemical Stability and Oxygen Solubility for Lithium-Oxygen and Lithium-Air Batteries”, ACS Energy Letters, 5 (7), 2182-2190. DOI: 10.1021/acsenergylett.0c00809.
Zou, P. Li, A. Barker, K. Ge, R. (2020). ”Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems”, Proceedings - 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020, 559-568. DOI: 10.1109/CCGrid49817.2020.00-37.
Minutoli, M. Castellana, V.G. Tan, C. Manzano, J. Amatya, V. Tumeo, A. Brooks, D. Wei, G.-Y. (2020). ”SODA: a New Synthesis Infrastructure for Agile Hardware Design of Machine Learning Accelerators”, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, 2020. DOI: 10.1145/3400302.3415781.
Poudel, S. Sharma, P. Dubey, A. Schneider, K.P. (2020). ”Advanced FLISR with Intentional Islanding Operations in an ADMS Environment Using GridAPPS-D”, IEEE Access, 8, 113766-113778. DOI: 10.1109/ACCESS.2020.3003325.
Firoz, J.S. Li, A. Li, J. Barker, K. (2020). ”On the Feasibility of Using Reduced-Precision Tensor Core Operations for Graph Analytics”, 2020 IEEE High Performance Extreme Computing Conference, HPEC 2020, DOI: 10.1109/HPEC43674.2020.9286152.
Ren, X. Gao, P. Zou, L. Jiao, S. Cao, X. Zhang, X. Jia, H. Engelhard, M.H. Matthews, B.E. Wu, H. Lee, H. Niu, C. Wang, C. Arey, B.W. Xiao, J. Liu, J. Zhang, J.-G. Xu, W. (2020). ”Role of inner solvation sheath within salt–solvent complexes in tailoring electrode/electrolyte interphases for lithium metal batteries”, Proceedings of the National Academy of Sciences of the United States of America, 117 (46), 28603-28613. DOI: 10.1073/pnas.2010852117.
Jian, J. Fernandez, C.A. Burghardt, J. Bonneville, A. Gupta, V. Garrison, G. (2020). ”Alternative, less water-intensive, fracturing fluids for enhanced geothermal systems”, 54th U.S. Rock Mechanics/Geomechanics Symposium.
Yang, N. Edington, S.C. Choi, T.H. Henderson, E.V. Heindel, J.P. Xantheas, S.S. Jordan, K.D. Johnsn, M.A. (2020). ”Mapping the temperature-dependent and network site-specific onset of spectral diffusion at the surface of a water cluster cage”, Proceedings of the National Academy of Sciences of the United States of America, 117 (42), 26047-26052. DOI: 10.1073/pnas.2017150117.
Meng, X. Karniadakis, G.E. (2020). ”A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems”, Journal of Computational Physics, 401. DOI: 10.1016/j.jcp.2019.109020.
Gawande, N.A. Daily, J.A. Siegel, C. Tallent, N.R. Vishnu, A. (2020). ”Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing”, Future Generation Computer Systems, 108, 1162-1172. DOI: 10.1016/j.future.2018.04.073.
Barik, R. Minutoli, M. Halappanavar, M. Tallent, N.R. Kalyanaraman, A. (2020). ”Vertex Reordering for Real-World Graphs and Applications: An Empirical Evaluation”, Proceedings - 2020 IEEE International Symposium on Workload Characterization, IISWC 2020, 240-251. DOI: 10.1109/IISWC50251.2020.00031.
Wang, T. Geng, T. Li, A. Jin, X. Herbordt, M. (2020). ”FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters”, IEEE Transactions on Computers, 69 (8), 1143-1158. DOI: 10.1109/TC.2020.3000118.
Cai, Y. Sun, C.Y. Li, Y.L. Hu, S.Y. Zhu, N.Y. Barker, E.I. Qian, L.Y. (2020). ”Phase field modeling of discontinuous dynamic recrystallization in hot deformation of magnesium alloys”, International Journal of Plasticity, 133. DOI: 10.1016/j.ijplas.2020.102773.
Singh, R.K. Bao, J. Wang, C. Fu, Y. Xu, Z. (2020). ”Hydrodynamics of countercurrent flows in a structured packed column: Effects of initial wetting and dynamic contact angle”, Chemical Engineering Journal, 398. DOI: 10.1016/j.cej.2020.125548.
Jia, H. Xu, Y. Burton, S.D. Gao, P. Zhang, X. Matthews, B.E. Engelhard, M.H. Zhong, L. Bowden, M.E. Xiao, B. Han, K.S. Wang, C. Xu, W. (2020). ”Enabling Ether-Based Electrolytes for Long Cycle Life of Lithium-Ion Batteries at High Charge Voltage”, ACS Applied Materials and Interfaces, 12 (49), 54893-54903. DOI: 10.1021/acsami.0c18177.
Liu, X.T. Halappanavar, M. Barker, K.J. Lumsdaine, A. Gebremedhin, A.H. (2020). ”Direction-optimizing label propagation and its application to community detection”, 17th ACM International Conference on Computing Frontiers 2020, CF 2020 - Proceedings, 192-201. DOI: 10.1145/3387902.3392634.
Chen, Y. Glaesemann, K. Li, X. Palmer, B. Huang, R. Vyakaranam, B. (2020). ”A generic advanced computing framework for executing windows-based dynamic contingency analysis tool in parallel on cluster machines”, IEEE Power and Energy Society General Meeting, 2020. DOI: 10.1109/PESGM41954.2020.9281477.
Zhang, D. Guo, L. Karniadakis, G.E. (2020). ”Learning in modal space: Solving time-dependent stochastic PDEs using physics-informed neural networks”, SIAM Journal on Scientific Computing, 42 (2), A639-A665. DOI: 10.1137/19M1260141.
Flamini, F. Walschaers, M. Spagnolo, N. Wiebe, N. Buchleitner, A. Sciarrino, F. (2020). ”Validating multi-photon quantum interference with finite data”, Quantum Science and Technology, 5 (4). DOI: 10.1088/2058-9565/aba03a.
Azad, A. Aznaveh, M.M. Beamer, S. Blanco, M. Chen, J. D'Alessandro, L. Dathathri, R. Davis, T. Deweese, K. Firoz, J. Gabb, H.A. Gill, G. Hegyi, B. Kolodziej, S. Low, T.M. Lumsdaine, A. Manlaibaatar, T. Mattson, T.G. McMillan, S. Peri, R. Pingali, K. Sridhar, U. Szarnyas, G. Zhang, Y. Zhang, Y. (2020). ”Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite”, Proceedings - 2020 IEEE International Symposium on Workload Characterization, IISWC 2020, 216-227. DOI: 10.1109/IISWC50251.2020.00029.
Peng, B. Kowalski, K. Panyala, A. Krishnamoorthy, S. (2020). ”Green's function coupled cluster simulation of the near-valence ionizations of DNA-fragments”, Journal of Chemical Physics, 152 (1). DOI: 10.1063/1.5138658.
Minutoli, M. Drocco, M. Halappanavar, M. Tumeo, A. Kalyanaraman, A. (2020). ”CuRipples: Influence maximization on multi-CPU systems”, Proceedings of the International Conference on Supercomputing. DOI: 10.1145/3392717.3392750.
Firoz, J.S. Jenkins, L. Joslyn, C. Praggastis, B. Purvine, E. Raugas, M. (2020). ”Computing hypergraph homology in chapel”, Proceedings - 2020 IEEE 34th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020, 667-670. DOI: 10.1109/IPDPSW50202.2020.00112.
Jia, H. Gao, P. Zou, L. Han, K.S. Engelhard, M.H. He, Y. Zhang, X. Zhao, W. Yi, R. Wang, H. Wang, C. Li, X. Zhang, J.-G. (2020). ”Controlling ion coordination structure and diffusion kinetics for optimized electrode-electrolyte interphases and high-performance Si anodes”, Chemistry of Materials, 32 (20), 8956-8964. DOI: 10.1021/acs.chemmater.0c02954.
Wiebe, N. (2020). ”Key questions for the quantum machine learner to ask themselves”, New Journal of Physics, 22 (9). DOI: 10.1088/1367-2630/abac39.
Wan, H. Woodward, C.S. Zhang, S. Vogl, C.J. Stinis, P. Gardner, D.J. Rasch, P.J. Zeng, X. Larson, V.E. Singh, B. (2020). ”Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: The Impacts of Closure Assumption and Process Coupling”, Journal of Advances in Modeling Earth Systems, 12 (10). DOI: 10.1029/2019MS001982.
Tan, C. Xie, C. Li, A. Barker, K.J. Tumeo, A. (2020). ”OpenCGRA: An Open-Source Unified Framework for Modeling, Testing, and Evaluating CGRAs”, Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors, 2020, 381-388. DOI: 10.1109/ICCD50377.2020.00070.
Aksoy S.G., K.E. Nowak, and S.J. Young. 2019. "A Linear-Time Algorithm and Analysis of Graph Relative Hausdorff Distance." SIAM Journal on Mathematics of Data Science 1, no. 4:647-666. PNNL-SA-141641. DOI:10.1137/19M1248224.
Schuld, M., Bocharov, A., Svore, K.M., Wiebe, N. (2020). Circuit-centric quantum classifiers. Physical Review A, 101 (3). DOI:10.1103/PhysRevA.101.032308.
Meng, X., Karniadakis, G.E. (2020). A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems. Journal of Computational Physics, 401. DOI: 10.1016/j.jcp.2019.109020.
Jagtap, A.D., Kawaguchi, K., Karniadakis, G.E. (2020). Adaptive activation functions accelerate convergence in deep and physics-informed neural networks. Journal of Computational Physics, 404. DOI: 10.1016/j.jcp.2019.109136.
Laureanti, J., Brandi, J., Offor, E., Engel, D., Rallo, R., Ginovska, B., Martinez, X., Baaden, M., Baker, N.A. (2020). Visualizing biomolecular electrostatics in virtual reality with UnityMol-APBS. Protein Science, 29 (1),237-246. DOI: 10.1002/pro.3773.
Gawande, N.A., Daily, J.A., Siegel, C., Tallent, N.R., Vishnu, A. (2020). Scaling Deep Learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. Future Generation Computer Systems, 108,1162-1172. DOI: 10.1016/j.future.2018.04.073.
Kou, E., Urquijo, P., Altmannshofer, W., Beaujean, F., Bell, G., Beneke, M., Bigi, I.I., et al. (2020). Erratum: The Belle II Physics Book (Progress of Theoretical and Experimental Physics (2019) 2019 (123C01) DOI: 10.1093/ptep/ptz106). Progress of Theoretical and Experimental Physics, 2020 (2). DOI: 10.1093/ptep/ptaa008.
Alexander, F., Almgren, A., Bell, J., Bhattacharjee, A., Chen, J., et al. (2020). Exascale applications: Skin in the game. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378 (2166). DOI: 10.1098/rsta.2019.0056.
Drgoňa, J., Picard, D., Helsen, L. (2020). Cloud-based implementation of white-box model predictive control for a GEOTABS office building: A field test demonstration. Journal of Process Control, 88,63-77. DOI: 10.1016/j.jprocont.2020.02.007.
Darulová, J., Pauka, S.J., Wiebe, N., Chan, K.W., Gardener, G.C., Manfra, M.J., Cassidy, M.C., Troyer, M. (2020). Autonomous Tuning and Charge-State Detection of Gate-Defined Quantum Dots. Physical Review Applied, 13 (5). DOI: 10.1103/PhysRevApplied.13.054005.
Peng, B., Kowalski, K., Panyala, A., Krishnamoorthy, S. (2020). Green's function coupled cluster simulation of the near-valence ionizations of DNA-fragments. Journal of Chemical Physics, 152 (1). DOI: 10.1063/1.5138658.
Wang, Y., Xiao, Z., Hu, S., Li, Y., Shi, S.-Q. (2020). A phase field study of the thermal migration of gas bubbles in UO2 nuclear fuel under temperature gradient. Computational Materials Science, 183. DOI: 10.1016/j.commatsci.2020.109817.
Aprà, E., Bylaska, E.J., de Jong, W.A., Govind, N., Kowalski, K., Straatsma, T.P., Valiev, M., et al. (2020). NWChem: Past, present, and future. The Journal of chemical physics, 152 (18). DOI: 10.1063/5.0004997.
Abudinén, F., Adachi, I., Ahlburg, P., Aihara, H., Akopov, N., Aloisio, A., Ameli, F., Andricek, L., Anh Ky, N., et al. (2020). Measurement of the integrated luminosity of the Phase 2 data of the Belle II experiment. Chinese Physics C, 44 (2). DOI: 10.1088/1674-1137/44/2/021001.
Rehr, J.J., Vila, F.D., Kas, J.J., Hirshberg, N.Y., Kowalski, K., Peng, B. (2020). Equation of motion coupled-cluster cumulant approach for intrinsic losses in x-ray spectra. The Journal of chemical physics, 152 (17). DOI: 10.1063/5.0004865.
Bauman, N.P., Peng, B., Kowalski, K. (2020). Coupled Cluster Green's function formulations based on the effective Hamiltonians. Molecular Physics. DOI: 10.1080/00268976.2020.1725669.
Bakker, C., Bhattacharya, A., Chatterjee, S., Vrabie, D.L. (2020). Learning and Information Manipulation: Repeated Hypergames for Cyber-Physical Security. IEEE Control Systems Letters, 4 (2),295-300. DOI: 10.1109/LCSYS.2019.2925681.
Tartakovsky, A.M., Marrero, C.O., Perdikaris, P., Tartakovsky, G.D., Barajas-Solano, D. (2020). Physics-Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems. Water Resources Research, 56 (5). DOI: 10.1029/2019WR026731.
Li, A., Song, S.L., Chen, J., Li, J., Liu, X., Tallent, N.R., Barker, K.J. (2020). Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect. IEEE Transactions on Parallel and Distributed Systems, 31 (1),94-110. DOI: 10.1109/TPDS.2019.2928289.
Zhou, W., Zhou, E., Liu, G., Lin, L., Lumsdaine, A. (2020). Unsupervised Monocular Depth Estimation from Light Field Image. IEEE Transactions on Image Processing, 29,1606-1617. DOI: 10.1109/TIP.2019.2944343.
Zou, P., Lp, A., Barker, K., Ge, R. (2020). Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems. Proceedings - 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020,559-568. DOI: 10.1109/CCGrid49817.2020.00-37.
Poudel, S., Sharma, P., Dubey, A., Schneider, K.P. (2020). Advanced FLISR with Intentional Islanding Operations in an ADMS Environment Using GridAPPS-D. IEEE Access, 8,113766-113778. DOI: 10.1109/ACCESS.2020.3003325.
Zhang, D., Guo, L., Karniadakis, G.E. (2020). Learning in modal space: Solving time-dependent stochastic PDEs using physics-informed neural networks. SIAM Journal on Scientific Computing, 42 (2), A639-A665. DOI: 10.1137/19M1260141.
Lin, P., Song, Q., Wu, Y., Pi, J. (2020). Repairing entities using star constraints in multirelational graphs. Proceedings - International Conference on Data Engineering, 2020, 229-240. DOI: 10.1109/ICDE48307.2020.00027.
Joslyn, C.A., Charles, L., Deperno, C., Gould, N., Nowak, K., Praggastis, B., Purvine, E., Robinson, M., Strules, J., Whitney, P. (2020). A sheaf theoretical approach to uncertainty quantification of heterogeneous geolocation information. Sensors (Switzerland), 20 (12),1-36. DOI: 10.3390/s20123418.
Wang, T., Geng, T., Li, A., Jin, X., Herbordt, M. (2020). FPDeep: Scalable Acceleration of CNN Training on Deeply-Pipelined FPGA Clusters. IEEE Transactions on Computers, 69 (8),1143-1158. DOI: 10.1109/TC.2020.3000118.
Liu, X.T., Halappanavar, M., Barker, K.J., Lumsdaine, A., Gebremedhin, A.H. (2020). Direction-optimizing label propagation and its application to community detection. 17th ACM International Conference on Computing Frontiers 2020, CF 2020 - Proceedings,192-201. DOI: 10.1145/3387902.3392634.
Chen, X., Duan, J., Karniadakis, G.E.M. (2020). Learning and meta-learning of stochastic advection-diffusion-reaction systems from sparse measurements. European Journal of Applied Mathematics. DOI: 10.1017/S0956792520000169.
Chakraborty, I., Chen, Y., Li, J., Vrabie, D. (2020). Theoretical Development of Controller Transfer applied to Dynamical Systems. e-Energy 2020 - Proceedings of the 11th ACM International Conference on Future Energy Systems,445-453. DOI: 10.1145/3396851.3402368.
Shi, R., Dong, P., Geng, T., Ding, Y., Ma, X., So, H.K.-H., Herbordt, M., Li, A., Wang, Y. (2020). CSB-RNN: A faster-than-realtime RNN acceleration framework with compressed structured blocks. Proceedings of the International Conference on Supercomputing. DOI: 10.1145/3392717.3392749.
Flamini, F., Walschaers, M., Spagnolo, N., Wiebe, N., Buchleitner, A., Sciarrino, F. (2020). Validating multi-photon quantum interference with finite data. Quantum Science and Technology, 5 (4). DOI: 10.1088/2058-9565/aba03a.
Minutoli, M., Drocco, M., Halappanavar, M., Tumeo, A., Kalyanaraman, A. (2020). CuRipples: Influence maximization on multi-CPU systems. Proceedings of the International Conference on Supercomputing. DOI: 10.1145/3392717.3392750.
Singh, R.K., Bao, J., Wang, C., Fu, Y., Xu, Z. (2020). Hydrodynamics of countercurrent flows in a structured packed column: Effects of initial wetting and dynamic contact angle. Chemical Engineering Journal, 398. DOI: 10.1016/j.cej.2020.125548.
Hagen, A., Church, E., Strube, J., Bhattacharya, K., Amatya, V. (2020). Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs. Journal of Physics: Conference Series, 1525 (1). DOI: 10.1088/1742-6596/1525/1/012104.
Stinis, P., Lei, H., Li, J., Wan, H. (2020). Improving solution accuracy and convergence for stochastic physics parameterizations with colored noise. Monthly Weather Review, 48, 2251-2263. DOI: 10.1175/MWR-D-19-0178.1.
Li, Y., Hu, S., Barker, E., Overman, N., Whalen, S., Mathaudhu, S. (2020). Effect of grain structure and strain rate on dynamic recrystallization and deformation behavior: A phase field-crystal plasticity model. Computational Materials Science, 180. https:/doi.org/10.1016/j.commatsci.2020.109707
Stinis, P. (2020). Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning. CEUR Workshop Proceedings, 2587. https:/doi.org/-
Sabet, A.H.N., Qiu, J., Zhao, Z., Krishnamoorthy, S. (2020). Reliability Analysis for Unreliable FSM Computations. ACM Transactions on Architecture and Code Optimization, 17 (2). https:/doi.org/10.1145/3377456
Reyes, B.C., Otero-Muras, I., Shuen, M.T., Tartakovsky, A.M., Petyuk, V.A. (2020). CRNT4SBML: a Python package for the detection of bistability in biochemical reaction networks. Bioinformatics (Oxford, England), 36 (12),3922-3924. https:/doi.org/10.1093/bioinformatics/btaa241
Joslyn, C.A., Aksoy, S., Arendt, D., Firoz, J., Jenkins, L., Praggastis, B., Purvine, E., Zalewski, M. (2020). Hypergraph analytics of domain name system relationships. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12091,1-15. https:/doi.org/10.1007/978-3-030-48478-1_1
Arai, E., Tartakovsky, A., Holt, R.G., Grace, S., Ryan, E. (2020). Comparison of surface tension generation methods in smoothed particle hydrodynamics for dynamic systems. Computers and Fluids, 203. https:/doi.org/10.1016/j.compfluid.2020.104540
Jestilä, J.S., Denton, J.K., Perez, E.H., Khuu, T., Aprà, E., Xantheas, S.S., Johnson, M.A., Uggerud, E. (2020). Characterization of the alkali metal oxalates (MC2O4-) and their formation by CO2 reduction: Via the alkali metal carbonites (MCO2-). Physical Chemistry Chemical Physics, 22 (14),7460-7473. https:/doi.org/10.1039/d0cp00547a
Bakker, C., Webster, J.B., Nowak, K.E., Chatterjee, S., Perkins, C.J., Brigantic, R. (2020). Multi-Game Modeling for Counter-Smuggling. Reliability Engineering and System Safety, 200. https:/doi.org/10.1016/j.ress.2020.106958
Li, J., Lakshminarasimhan, M., Wu, X., Li, A., Olschanowsky, C., Barker, K. (2020). A parallel sparse tensor benchmark suite on CPUs and GPUs. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, 403-404. https:/doi.org/10.1145/3332466.3374513
Battu, A.K., Pope, T.R., Varga, T., Christ, J.F., Fenn, M.D., Rosenthal, W.S., Kuang, W., Thomas, M., Arnold, A.M., Schram, M., Warner, M.G., Barrett, C.A., Kennedy, Z.C. (2020). Build orientation dependent microstructure in polymer laser sintering: Relationship to part performance and evolution with aging. Additive Manufacturing, 36. https:/doi.org/10.1016/j.addma.2020.101464
Zhang, X., Song, S.L., Xie, C., Wang, J., Zhang, W., Fu, X. (2020). Enabling highly efficient capsule networks processing through a PIM-based architecture design. Proceedings - 2020 IEEE International Symposium on High Performance Computer Architecture, HPCA 2020,542-555. https:/doi.org/10.1109/HPCA47549.2020.00051
Biró, C., Bosek, B., Smith, H.C., Trotter, W.T., Wang, R., Young, S.J. (2020). Planar Posets that are Accessible from Below Have Dimension at Most 6. Order. https:/doi.org/10.1007/s11083-020-09525-4
Bilbrey, J.A., Marrero, C.O., Sassi, M., Ritzmann, A.M., Henson, N.J., Schram, M. (2020). Tracking the chemical evolution of iodine species using recurrent neural networks. ACS Omega, 5 (9),4588-4594. https:/doi.org/10.1021/acsomega.9b04104
Wang, S., Huang, R., Ke, X., Zhao, J., Fan, R., Wang, H., Huang, Z., Sathanur, A., Vrabie, D. (2020). Risk-oriented PMU placement approach in electric power systems. IET Generation, Transmission and Distribution, 14 (2),301-307. https:/doi.org/10.1049/iet-gtd.2019.0957
Bilbrey, J.A., Heindel, J.P., Schram, M., Bandyopadhyay, P., Xantheas, S.S., Choudhury, S. (2020). A look inside the black box: Using graph-theoretical descriptors to interpret a Continuous-Filter Convolutional Neural Network (CF-CNN) trained on the global and local minimum energy structures of neutral water clusters. Journal of Chemical Physics, 153 (2). https:/doi.org/10.1063/5.0009933
Xiao, Z., Wang, Y., Hu, S., Li, Y., Shi, S.-Q. (2020). A quantitative phase-field model of gas bubble evolution in UO2. Computational Materials Science, 184. https:/doi.org/10.1016/j.commatsci.2020.109867
Wang, T., Upadhyay, P., Reza-E-Rabby, M., Li, X., Li, L., Soulami, A., Kappagantula, K.S., Whalen, S. (2020). Joining of thermoset carbon fiber reinforced polymer and AZ31 magnesium alloy sheet via friction stir interlocking. International Journal of Advanced Manufacturing Technology, 109 (3-4),689-698. https:/doi.org/10.1007/s00170-020-05717-9
Aksoy, S.G., Bruillard, P., Young, S.J., Raugas, M. (2020). Ramanujan graphs and the spectral gap of supercomputing topologies. Journal of Supercomputing. https:/doi.org/10.1007/s11227-020-03291-1
Tipireddy, R., Barajas-Solano, D.A., Tartakovsky, A.M. (2020). Conditional Karhunen-Loève expansion for uncertainty quantification and active learning in partial differential equation models. Journal of Computational Physics, 418. https:/doi.org/10.1016/j.jcp.2020.109604
Pal, S., Biswas, S., Sridhar, S., Ashok, A., Hansen, J., Amatya, V. (2020). Understanding impacts of data integrity attacks on transactive control systems. 2020 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2020. https:/doi.org/10.1109/ISGT45199.2020.9087734
He, Q., Barajas-Solano, D., Tartakovsky, G., Tartakovsky, A.M. (2020). Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport. Advances in Water Resources, 141. https:/doi.org/10.1016/j.advwatres.2020.103610
Drocco, M., Castellana, V.G., Minutoli, M. (2020). Practical Distributed Programming in C++. HPDC 2020 - Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing, 35-39. https:/doi.org/10.1145/3369583.3392680
Keller, M.T., Young, S.J. (2020). Hereditary semiorders and enumeration of semiorders by dimension. Electronic Journal of Combinatorics, 27 (1). https:/doi.org/10.37236/8140
Gioiosa, R., Mutlu, B.O., Lee, S., Vetter, J.S., Picierro, G., Cesati, M. (2020). The minos computing library: Efficient parallel programming for extremely heterogeneous systems. GPGPU 2020 - Proceedings of the 2020 General Purpose Processing Using GPU, 1-10. https:/doi.org/10.1145/3366428.3380770
Jagtap, A.D., Kharazmi, E., Karniadakis, G.E. (2020). Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems. Computer Methods in Applied Mechanics and Engineering, 365. https:/doi.org/10.1016/j.cma.2020.113028
Esfahani, A.A., Böser, S., Buzinsky, N., Cervantes, R., Claessens, C., De Viveiros, L., Fertl, M., Formaggio, J.A., Gladstone, L., Guigue, M., Heeger, K.M., Johnston, J., Jones, A.M., Kazkaz, K., Laroque, B.H., Lindman, A., Machado, E., Monreal, B., Morrison, E.C., Nikkel, J.A., Novitski, E., Oblath, N.S., Pettus, W., Robertson, R.G.H., Rybka, G., Saldaña, L., Sibille, V., Schram, M., Slocum, P.L., Sun, Y.-H., Thümmler, T., Vandevender, B.A., Weiss, T.E., Wendler, T., Zayas, E. (2020). Cyclotron radiation emission spectroscopy signal classification with machine learning in project 8. New Journal of Physics, 22 (3). https:/doi.org/10.1088/1367-2630/ab71bd
Li, J., Tartakovsky, A.M. (2020). Gaussian process regression and conditional polynomial chaos for parameter estimation. Journal of Computational Physics, 416. https:/doi.org/10.1016/j.jcp.2020.109520
Thomas, M., Schram, M., Fox, K., Strube, J., Oblath, N.S., Rallo, R., Kennedy, Z.C., Varga, T., Battu, A.K., Barrett, C.A. (2020). Distributed heterogeneous compute infrastructure for the study of additive manufacturing systems. MRS Advances,1547-1555. https:/doi.org/10.1557/adv.2020.103
2019
Kou, E., Urquijo, P., Altmannshofer, W., Beaujean, F., Bell, G., Beneke, M., Bigi, I.I., Bishara, F., et al. (2019). The Belle II physics book. Progress of Theoretical and Experimental Physics, 2019 (12). https:/doi.org/10.1093/ptep/ptz106
Shaw, W.J., Berg, L.K., Cline, J., Draxl, C., Djalalova, I., Grimit, E.P., Lundquist, J.K., Marquis, M., McCaa, J., Olson, J.B., Sivaraman, C., Sharp, J., Wilczak, J.M. (2019). The second wind forecast improvement project (wfip2) general overview. Bulletin of the American Meteorological Society, 100 (9),1687-1699. https:/doi.org/10.1175/BAMS-D-18-0036.1
Bulgac, A., Jin, S., Roche, K.J., Schunck, N., Stetcu, I. (2019). Fission dynamics of Pu 240 from saddle to scission and beyond. Physical Review C, 100 (3). https:/doi.org/10.1103/PhysRevC.100.034615
Mayer, M., Van Lessen, V., Rohdenburg, M., Hou, G.-L., Yang, Z., Exner, R.M., Aprà, E., Azov, V.A., Grabowsky, S., Xantheas, S.S., Asmis, K.R., Wang, X.-B., Jenne, C., Warneke, J. (2019). Rational design of an argon-binding superelectrophilic anion. Proceedings of the National Academy of Sciences of the United States of America, 116 (17),8167-8172. https:/doi.org/10.1073/pnas.1820812116
Gupta, V., Lee, T., Vivek, A., Choi, K.S., Mao, Y., Sun, X., Daehn, G. (2019). A robust process-structure model for predicting the joint interface structure in impact welding. Journal of Materials Processing Technology, 264,107-118. https:/doi.org/10.1016/j.jmatprotec.2018.08.047
Stinis, P., Hagge, T., Tartakovsky, A.M., Yeung, E. (2019). Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks. Journal of Computational Physics, 397. https:/doi.org/10.1016/j.jcp.2019.07.042
Rakshit, A., Bandyopadhyay, P., Heindel, J.P., Xantheas, S.S. (2019). Atlas of putative minima and low-lying energy networks of water clusters n = 3-25. Journal of Chemical Physics, 151 (21). https:/doi.org/10.1063/1.5128378
Boyer, M.A., Marsalek, O., Heindel, J.P., Markland, T.E., McCoy, A.B., Xantheas, S.S. (2019). Beyond Badger's Rule: The Origins and Generality of the Structure-Spectra Relationship of Aqueous Hydrogen Bonds. Journal of Physical Chemistry Letters, 10 (5),918-924. https:/doi.org/10.1021/acs.jpclett.8b03790
Warneke, J., Konieczka, S.Z., Hou, G.-L., Aprà, E., Kerpen, C., Keppner, F., Schäfer, T.C., Deckert, M., Yang, Z., Bylaska, E.J., Johnson, G.E., Laskin, J., Xantheas, S.S., Wang, X.-B., Finze, M. (2019). Properties of perhalogenated {: Closo -B10} and { closo -B11} multiply charged anions and a critical comparison with { closo -B12} in the gas and the condensed phase. Physical Chemistry Chemical Physics, 21 (11),5903-5915. https:/doi.org/10.1039/c8cp05313h
Esfahani, A.A., Bansal, V., Böser, S., Buzinsky, N., Cervantes, R., Claessens, C., De Viveiros, L., Doe, P.J., Fertl, M., Formaggio, J.A., Gladstone, L., Guigue, M., Heeger, K.M., Johnston, J., Jones, A.M., Kazkaz, K., Laroque, B.H., Leber, M., Lindman, A., Machado, E., Monreal, B., Morrison, E.C., Nikkel, J.A., Novitski, E., Oblath, N.S., Pettus, W., Robertson, R.G.H., Rybka, G., Saldaña, L., Sibille, V., Schram, M., Slocum, P.L., Sun, Y.-H., Tedeschi, J.R., Thümmler, T., Vandevender, B.A., Wachtendonk, M., Walter, M., Weiss, T.E., Wendler, T., Zayas, E. (2019). Electron radiated power in cyclotron radiation emission spectroscopy experiments. Physical Review C, 99 (5). https:/doi.org/10.1103/PhysRevC.99.055501
Meng, K., Li, J., Tan, G., Sun, N. (2019). A pattern based algorithmic autotuner for graph processing on GPUs. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP,201-213. https:/doi.org/10.1145/3293883.3295716
Bauman, N.P., Bylaska, E.J., Krishnamoorthy, S., Low, G.H., Wiebe, N., Granade, C.E., Roetteler, M., Troyer, M., Kowalski, K. (2019). Downfolding of many-body Hamiltonians using active-space models: Extension of the sub-system embedding sub-algebras approach to unitary coupled cluster formalisms. Journal of Chemical Physics, 151 (1). https:/doi.org/10.1063/1.5094643
Li, Y.L., Zeidman, B.D., Hu, S.Y., Henager, C.H., Besmann, T.M., Grandjean, A. (2019). A physics-based mesoscale phase-field model for predicting the uptake kinetics of radionuclides in hierarchical nuclear wasteform materials. Computational Materials Science, 159,103-109. https:/doi.org/10.1016/j.commatsci.2018.11.041
Peng, B., Van Beeumen, R., Williams-Young, D.B., Kowalski, K., Yang, C. (2019). Approximate Green's Function Coupled Cluster Method Employing Effective Dimension Reduction. Journal of Chemical Theory and Computation, 15 (5),3185-3196. https:/doi.org/10.1021/acs.jctc.9b00172
Song, Q., Namaki, M.H., Wu, Y. (2019). Answering why-questions for subgraph queries in multi-attributed graphs. Proceedings - International Conference on Data Engineering, 2019,40-51. https:/doi.org/10.1109/ICDE.2019.00013
Geng, T., Wang, T., Wu, C., Yang, C., Wu, W., Li, A., Herbordt, M.C. (2019). O3BNN: An out-of-order architecture for high-performance binarized neural network inference with fine-grained pruning. Proceedings of the International Conference on Supercomputing ,461-472. https:/doi.org/10.1145/3330345.3330386
Aprà, E., Warneke, J., Xantheas, S.S., Wang, X.-B. (2019). A benchmark photoelectron spectroscopic and theoretical study of the electronic stability of [B 12 H 12 ] 2-. Journal of Chemical Physics, 150 (16). https:/doi.org/10.1063/1.5089510
MacKey, P., Porterfield, K., Fitzhenry, E., Choudhury, S., Chin, G. (2019). A Chronological Edge-Driven Approach to Temporal Subgraph Isomorphism. Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018,3972-3979. https:/doi.org/10.1109/BigData.2018.8622100
Yang, X., Barajas-Solano, D., Tartakovsky, G., Tartakovsky, A.M. (2019). Physics-informed CoKriging: A Gaussian-process-regression-based multifidelity method for data-model convergence. Journal of Computational Physics, 395 ,410-431. https:/doi.org/10.1016/j.jcp.2019.06.041
Tranter, A., Love, P.J., Mintert, F., Wiebe, N., Coveney, P.V. (2019). Ordering of Trotterization: Impact on errors in quantum simulation of electronic structure. Entropy, 21 (12). https:/doi.org/10.3390/e21121218
Firoz, J.S., Zalewski, M., Kanewala, T., Lumsdaine, A. (2019). Synchronization-Avoiding Graph Algorithms. Proceedings - 25th IEEE International Conference on High Performance Computing, HiPC 2018, 52-61. https:/doi.org/10.1109/HiPC.2018.00015
Kim, J., Sukumaran-Rajam, A., Thumma, V., Krishnamoorthy, S., Panyala, A., Pouchet, L.-N., Rountev, A., Sadayappan, P. (2019). A Code Generator for High-Performance Tensor Contractions on GPUs. CGO 2019 - Proceedings of the 2019 IEEE/ACM International Symposium on Code Generation and Optimization, 85-95. https:/doi.org/10.1109/CGO.2019.8661182
Huang, Q., Huang, R., Palmer, B.J., Liu, Y., Jin, S., Diao, R., Chen, Y., Zhang, Y. (2019). A generic modeling and development approach for WECC composite load model. Electric Power Systems Research, 172, 1-10. https:/doi.org/10.1016/j.epsr.2019.02.027
Lei, H., Li, J., Gao, P., Stinis, P., Baker, N.A. (2019). A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness. Computer Methods in Applied Mechanics and Engineering, 350,199-227. https:/doi.org/10.1016/j.cma.2019.03.014
Pouchard, L., Baldwin, S., Elsethagen, T., Jha, S., Raju, B., Stephan, E., Tang, L., Van Dam, K.K. (2019). Computational reproducibility of scientific workflows at extreme scales. International Journal of High Performance Computing Applications, 33 (5),763-776. https:/doi.org/10.1177/1094342019839124
Geng, T., Wang, T., Wu, C., Yang, C., Song, S.L., Li, A., Herbordt, M. (2019). LP-BNN: Ultra-low-latency BNN inference with layer parallelism. Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors, 2019, 9-16. https:/doi.org/10.1109/ASAP.2019.00-43
Cromwell, E., Flynn, D. (2019). Lidar cloud detection with fully convolutional networks. Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019, 619-627. https:/doi.org/10.1109/WACV.2019.00071
Li, Y., Hu, S., Henager, C.H. (2019). Microstructure-based model of nonlinear ultrasonic response in materials with distributed defects. Journal of Applied Physics, 125 (14). https:/doi.org/10.1063/1.5083957
Mutlu, B.O., Kestor, G., Manzano, J., Unsal, O., Chatterjee, S., Krishnamoorthy, S. (2019). Characterization of the Impact of Soft Errors on Iterative Methods. Proceedings - 25th IEEE International Conference on High Performance Computing, HiPC 2018, 203-214. https:/doi.org/10.1109/HiPC.2018.00031
Li, J., Stinis, P. (2019). Mori-Zwanzig reduced models for uncertainty quantification. Journal of Computational Dynamics, 6 (1),39-68. https:/doi.org/10.3934/jcd.2019002
Wang, X., Tumeo, A., Leidel, J.D., Li, J., Chen, Y. (2019). MAC: Memory access coalescer for 3D-stacked memory. ACM International Conference Proceeding Series. https:/doi.org/10.1145/3337821.3337867
Dobrian, F., Halappanavar, M., Pothen, A., Al-Herz, A. (2019). A 2/3-approximation algorithm for vertex weighted matching in bipartite graphs. SIAM Journal on Scientific Computing, 41 (1), A566-A591. https:/doi.org/10.1137/17M1140029
Cottam, J.A., Purohit, S., Mackey, P., Chin, G. (2019). Multi-Channel Large Network Simulation Including Adversarial Activity. Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, 3947-3950. https:/doi.org/10.1109/BigData.2018.8622305
Shigorina, E., Tartakovsky, A.M., Kordilla, J. (2019). Investigation of gravity-driven infiltration instabilities in smooth and rough fractures using a pairwise-force smoothed particle hydrodynamics model. Vadose Zone Journal, 18 (1). https:/doi.org/10.2136/vzj2018.08.0159
Xie, C., Zhang, X., Li, A., Fu, X., Song, S. (2019). PIM-VR: Erasing motion anomalies in highly-interactive virtual reality world with customized memory cube. Proceedings - 25th IEEE International Symposium on High Performance Computer Architecture, HPCA 2019, 609-622. https:/doi.org/10.1109/HPCA.2019.00013
Singh, A., Altintas, I., Schram, M., Tallent, N. (2019). Deep Learning for Enhancing Fault Tolerant Capabilities of Scientific Workflows. Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, 3905-3914. https:/doi.org/10.1109/BigData.2018.8622509
Liu, J., Li, D., Kestor, G., Vetter, J. (2019). Runtime concurrency control and operation scheduling for high performance neural network training. Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019, 188-199. https:/doi.org/10.1109/IPDPS.2019.00029
Li, J., Uçar, B., Çatalyürek, Ü.V., Sun, J., Barker, K., Vuduc, R. (2019). Efficient and effective sparse tensor reordering. Proceedings of the International Conference on Supercomputing ,227-237. https:/doi.org/10.1145/3330345.3330366
Li, A., Geng, T., Wang, T., Herbordt, M., Song, S.L., Barker, K. (2019). BSTC: A novel binarized-soft-tensor-core design for accelerating bit-based approximated neural nets. International Conference for High Performance Computing, Networking, Storage and Analysis, SC. https:/doi.org/10.1145/3295500.3356169
Barajas-Solano, D.A., Tartakovsky, A.M. (2019). Approximate Bayesian model inversion for PDEs with heterogeneous and state-dependent coefficients. Journal of Computational Physics, 395, 247-262. https:/doi.org/10.1016/j.jcp.2019.06.010
Yang, L., Treichler, S., Kurth, T., Fischer, K., Barajas-Solano, D., Romero, J., Churavy, V., Tartakovsky, A., Houston, M., Prabhat, Karniadakis, G. (2019). Highly-Scalable, physics-informed GANs for learning solutions of stochastic PDEs. Proceedings of DLS 2019: Deep Learning on Supercomputers - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis ,1-11. https:/doi.org/10.1109/DLS49591.2019.00006
Castellana, V.G., Drocco, M., Feo, J., Firoz, J., Kanewala, T., Lumsdaine, A., Manzano, J., Marquez, A., Minutoli, M., Suetterlein, J., Tumeo, A., Zalewski, M. (2019). A Parallel Graph Environment for Real-World Data Analytics Workflows. Proceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019,1313-1318. https:/doi.org/10.23919/DATE.2019.8715196
Dong, J., Ramachandran, T., Im, P., Huang, S., Chandan, V., Vrabie, D.L., Kuruganti, T. (2019). Online learning for commercial buildings. e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems,522-530. https:/doi.org/10.1145/3307772.3331029
Ghosh, S., Halappanavar, M., Tumeo, A., Kalyanaraman, A., Gebremedhin, A.H. (2019). MiniVite: A graph analytics benchmarking tool for massively parallel systems. Proceedings of PMBS 2018: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis,51-56. https:/doi.org/10.1109/PMBS.2018.8641631
Nur, N., Sridhar, S., Pal, S., Ashok, A., Amatya, V.C. (2019). A clustering approach for consumer baselining and anomaly detection in transactive control. e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems,516-521. https:/doi.org/10.1145/3307772.3331028
Bemis, K.A., Guo, D., Harry, A.J., Thomas, M., Lanekoff, I., Stenzel-Poore, M.P., Stevens, S.L., Laskin, J., Vitek, O. (2019). Statistical detection of differentially abundant ions in mass spectrometry-based imaging experiments with complex designs. International Journal of Mass Spectrometry, 437, 49-57. https:/doi.org/10.1016/j.ijms.2018.07.006
Price, J., Stinis, P. (2019). Renormalized reduced order models with memory for long time prediction. Multiscale Modeling and Simulation, 17 (1),68-91. https:/doi.org/10.1137/17M1151389
Mutlu, E., Kowalski, K., Krishnamoorthy, S. (2019). Toward generalized tensor algebra for ab initio Quantum chemistry methods. Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI),46-56. https:/doi.org/10.1145/3315454.3329958
Fang, B., Halawa, H., Pattabiraman, K., Ripeanu, M., Krishnamoorthy, S. (2019). BonVoision: Leveraging spatial data smoothness for recovery from memory soft errors. Proceedings of the International Conference on Supercomputing ,484-496. https:/doi.org/10.1145/3330345.3330388
Liu, X., Firoz, J.S., Zalewski, M., Halappanavar, M., Barker, K.J., Lumsdaine, A., Gebremedhin, A.H. (2019). Distributed direction-optimizing label propagation for community detection. 2019 IEEE High Performance Extreme Computing Conference, HPEC 2019. https:/doi.org/10.1109/HPEC.2019.8916215
Khan, A., Choromanski, K., Pothen, A., Ferdous, S.M., Halappanavar, M., Tumeo, A. (2019). Adaptive anonymization of data using b-edge cover. Proceedings - International Conference for High Performance Computing, Networking, Storage, and Analysis, SC 2018, 743-753. https:/doi.org/10.1109/SC.2018.00062
Bhuiyan, T.H., Halappanavar, M., Friese, R.D., Medal, H., de la Torre, L., Sathanur, A., Tallent, N.R. (2019). Stochastic programming approach for resource selection under demand uncertainty. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11332 ,107-126. https:/doi.org/10.1007/978-3-030-10632-4_6
Spies, K.A., Viswanathan, V.V., Soulami, A., Hovanski, Y., Joshi, V.V. (2019). Galvanically Graded Interface: A Computational Model for Mitigating Galvanic Corrosion Between Magnesium and Mild Steel. Minerals, Metals and Materials Series, 135-144. https:/doi.org/10.1007/978-3-030-05789-3_21
Aksoy, S.G., Nowak, K.E., Purvine, E., Young, S.J. (2019). Relative Hausdorff distance for network analysis. Applied Network Science, 4 (1). https:/doi.org/10.1007/s41109-019-0198-0
Castellana, V.G., Lattuada, M., Minutoli, M., Fezzardi, P., Tumeo, A., Ferrandi, F. (2019). Software defined architectures for data analytics. Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC, 711-718. https:/doi.org/10.1145/3287624.3288754
Nisa, I., Li, J., Sukumaran-Rajam, A., Vuduc, R., Sadayappan, P. (2019). Load-balanced sparse MTTKRP on GPUS. Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019, 123-133. https:/doi.org/10.1109/IPDPS.2019.00023
Minutoli, M., Halappanavar, M., Kalyanaraman, A., Sathanur, A., McClure, R., McDermott, J. (2019). Fast and Scalable Implementations of Influence Maximization Algorithms. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2019-. https:/doi.org/10.1109/CLUSTER.2019.8890991
Fang, B., Chen, J., Pattabiraman, K., Ripeanu, M., Krishnamoorthy, S. (2019). Towards Predicting the Impact of Roll-Forward Failure Recovery for HPC Applications. Proceedings - 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume, DSN-S 2019, 13-14. https:/doi.org/10.1109/DSN-S.2019.00012
Lim, K.S., Riihimaki, L.D., Shi, Y., Flynn, D., Kleiss, J.M., Berg, L.K., Gustafson, W.I., Zhang, Y., Johnson, K.L. (2019). Long-term retrievals of cloud type and fair-weather shallow cumulus events at the ARM SGP site. Journal of Atmospheric and Oceanic Technology, 36 (10),2031-2043. https:/doi.org/10.1175/JTECH-D-18-0215.1
Mutlu, B.O., Kestor, G., Cristal, A., Unsal, O., Krishnamoorthy, S. (2019). Ground-Truth Prediction to Accelerate Soft-Error Impact Analysis for Iterative Methods. Proceedings - 26th IEEE International Conference on High Performance Computing, HiPC 2019, 333-344. https:/doi.org/10.1109/HiPC.2019.00048
Zou, P., Li, A., Barker, K., Ge, R. (2019). Fingerprinting Anomalous Computation with RNN for GPU-accelerated HPC Machines∗. Proceedings of the 2019 IEEE International Symposium on Workload Characterization, IISWC 2019, 253-256. https:/doi.org/10.1109/IISWC47752.2019.9042165
Kumar, S., Eyraud-Dubois, L., Krishnamoorthy, S. (2019). Performance models for data transfers: A case study with molecular chemistry kernels. ACM International Conference Proceeding Series. https:/doi.org/10.1145/3337821.3337921
Choi, K.S., Barker, E.I., Sun, X., Song, J., Xiong, S.-M., Forsmark, J., Li, M. (2019). An integrated two-dimensional modeling method for predicting ductility of thin-walled die cast magnesium. International Journal of Fracture, 219 (2),203-220. https:/doi.org/10.1007/s10704-019-00390-w
Gawande, N., Kowalski, K., Palmer, B., Krishnamoorthy, S., Apra, E., Manzano, J., Amatya, V., Crawford, J. (2019). Accelerating the Global Arrays ComEx Runtime Using Multiple Progress Ranks. Proceedings of ExaMPI 2019: Workshop on Exascale MPI - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis, 29-38. https:/doi.org/10.1109/ExaMPI49596.2019.00009
Jenkins, L., Firoz, J.S., Zalewski, M., Joslyn, C., Raugas, M. (2019). Graph algorithms in PGAS: Chapel and UPC++. 2019 IEEE High Performance Extreme Computing Conference, HPEC 2019. https:/doi.org/10.1109/HPEC.2019.8916309
Young, J.S., Hein, E., Eswar, S., Lavin, P., Li, J., Riedy, J., Vuduc, R., Conte, T. (2019). A microbenchmark characterization of the Emu chick. Parallel Computing, 87, 60-69. https:/doi.org/10.1016/j.parco.2019.04.012
Bin, R.E.N., Balakrishna, S., Jo, Y., Krishnamoorthy, S., Agrawal, K., Kulkarni, M. (2019). Extracting SIMD parallelism from recursive task-parallel programs. ACM Transactions on Parallel Computing, 6 (4). https:/doi.org/10.1145/3365663
Firoz, J.S., Zalewski, M., Suetterlein, J., Lumsdaine, A. (2019). Adaptive Runtime Features for Distributed Graph Algorithms. Proceedings - 25th IEEE International Conference on High Performance Computing, HiPC 2018, 82-91. https:/doi.org/10.1109/HiPC.2018.00018
Friese, R., Tumeo, A., Gioiosa, R., Raugas, M., Warfel, T. (2019). Advert: An Asynchronous Runtime for Fine-Grained Network Systems. Proceedings of IPDRM 2019: 3rd Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis, 9-17. https:/doi.org/10.1109/IPDRM49579.2019.00006
Chakraborty, I., Chandan, V., Vrabie, D. (2019). A sequential DNN based baseline energy prediction framework with long term error mitigation. e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems, 508-515. https:/doi.org/10.1145/3307772.3331027
Tumeo, A., Feo, J., Villa, O. (2019). Special Issue on: Systems for Learning, Inferencing, and Discovering (SLID). Journal of Parallel and Distributed Computing, 129, 59-60. https:/doi.org/10.1016/j.jpdc.2019.04.001
Ghosh, P., Krishnamoorthy, S., Kalyanaraman, A. (2019). Pakman: Scalable assembly of large genomes on distributed memory machines. Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019, 578-589. https:/doi.org/10.1109/IPDPS.2019.00067
Fernandez, C.A., Gupta, V., Dai, G.L., Kuprat, A.P., Bonneville, A., Appriou, D., Horner, J.A., Martin, P.F., Burghardt, J.A. (2019). Insights into a Greener Stimuli-Responsive Fracturing Fluid for Geothermal Energy Recovery. ACS Sustainable Chemistry and Engineering, 7 (24),19660-19668. https:/doi.org/10.1021/acssuschemeng.9b04802
Cromwell, E., Flynn, D. (2019). Lidar Cloud Detection with Fully Convoltional Networks. Optics InfoBase Conference Papers, 2019. https:/doi.org/-
Kilic, O.O., Tallent, N.R., Friese, R.D. (2019). Rapidly Measuring Loop Footprints. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2019-. https:/doi.org/10.1109/CLUSTER.2019.8891025
Sathanur, A.V., Sripimonwan, B., Halappanavar, M., Chatterjee, S., Ganguly, A., Clark, K. (2019). Identification of Critical Airports from the Perspective of Delay and Disruption Propagation in Air Travel Networks. 2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019. https:/doi.org/10.1109/HST47167.2019.9032999
Nisa, I., Li, J., Sukumaran-Rajam, A., Rawat, P.S., Krishnamoorthy, S., Sadayappan, P. (2019). An efficient mixed-mode representation of sparse tensors. International Conference for High Performance Computing, Networking, Storage and Analysis, SC. https:/doi.org/10.1145/3295500.3356216
Suetterlein, J., Friese, R.D., Tallent, N.R., Schram, M. (2019). TAZeR: Hiding the Cost of Remote I/O in Distributed Scientific Workflows. Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019, 383-394. https:/doi.org/10.1109/BigData47090.2019.9006418
Wickramasinghe, U., Lumsdaine, A., Ekanayake, S., Swany, M. (2019). RDMA managed buffers: A case for accelerating communication bound processes via fine-grained events for zero-copy message passing. Proceedings - 2019 18th International Symposium on Parallel and Distributed Computing, ISPDC 2019, 121-130. https:/doi.org/10.1109/ISPDC.2019.00025
Dylewsky, D., Yang, X., Tartakovsky, A., Kutz, J.N. (2019). Engineering structural robustness in power grid networks susceptible to community desynchronization. Applied Network Science, 4 (1). https:/doi.org/10.1007/s41109-019-0137-0
Firoz, J.S., Zalewski, M., Lumsdaine, A. (2019). A Synchronization-Avoiding distance-1 grundy coloring algorithm for power-law graphs. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT, 2019, 420-431. https:/doi.org/10.1109/PACT.2019.00040
Ashtari Esfahani, A., Böser, S., Buzinsky, N., Cervantes, R., Claessens, C., Viveiros, L.D., Fertl, M., Formaggio, J.A., Gladstone, L., Guigue, M., Heeger, K.M., Johnston, J., Jones, A.M., Kazkaz, K., Laroque, B.H., Lindman, A., Machado, E., Monreal, B., Morrison, E.C., Nikkel, J.A., Novitski, E., Oblath, N.S., Pettus, W., Robertson, R.G.H., Rybka, G., Saldaña, L., Sibille, V., Schram, M., Slocum, P.L., Sun, Y.-H., Tedeschi, J.R., Thümmler, T., Vandevender, B.A., Wachtendonk, M., Walter, M., Weiss, T.E., Wendler, T., Zayas, E. (2019). Locust: C++ software for simulation of RF detection. New Journal of Physics, 21 (11). https:/doi.org/10.1088/1367-2630/ab550d
Bakker, C., Nowak, K.E., Steven Rosenthal, W. (2019). Learning Koopman Operators for Systems with Isolated Critical Points. Proceedings of the IEEE Conference on Decision and Control, 2019, 7733-7739. https:/doi.org/10.1109/CDC40024.2019.9029818
Cromwell, E., Flynn, D. (2019). Lidar cloud detection with fully convoltional networks. Optics and Photonics for Sensing the Environment - Proceedings Optical Sensors and Sensing Congress (ES, FTS, HISE, Sensors). https:/doi.org/-
Ghosh, S., Halappanavar, M., Tumeo, A., Kalyanarainan, A. (2019). Scaling and quality of modularity optimization methods for graph clustering. 2019 IEEE High Performance Extreme Computing Conference, HPEC 2019. https:/doi.org/10.1109/HPEC.2019.8916299
Barajas-Solano, D.A., Alexander, F.J., Anghel, M., Tartakovsky, D.M. (2019). Efficient gHMC Reconstruction of Contaminant Release History. Frontiers in Environmental Science, 7. https:/doi.org/10.3389/fenvs.2019.00149
Zhou, W., Zhou, E., Yan, Y., Lin, L., Lumsdaine, A. (2019). Learning Depth Cues from Focal Stack for Light Field Depth Estimation. Proceedings - International Conference on Image Processing, ICIP, 2019,1074-1078. https:/doi.org/10.1109/ICIP.2019.8804270
Li, J., Wang, X., Tumeo, A., Williams, B., Leidel, J.D., Chen, Y. (2019). PIMS: A lightweight processing-in-memory accelerator for stencil computations. ACM International Conference Proceeding Series, 41-52. https:/doi.org/10.1145/3357526.3357550
Sathanur, A.V., Amatya, V., Khan, A., Rallo, R., Maass, K. (2019). Graph analytics and optimization methods for insights from the uber movement data. Proceedings of the 2nd ACM/EIGSCC Symposium on Smart Cities and Communities, SCC 2019. https:/doi.org/10.1145/3357492.3358625
Tumeo, A., Castellana, V.G., Feo, J. (2019). Foreword. Proceedings of IA3 2018: 8th Workshop on Irregular Applications: Architectures and Algorithms, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis , VII-VIII. https:/doi.org/10.1109/IA3.2018.00005
Khan, A., Halappanavar, M., Hagge, T., Kowalski, K., Pothen, A., Krishnamoorthy, S. (2019). Mapping Arbitrarily Sparse Two-Body Interactions on One-Dimensional Quantum Circuits. Proceedings - 26th IEEE International Conference on High Performance Computing, HiPC 2019, 52-62. https:/doi.org/10.1109/HiPC.2019.00018
Xie, C., Xin, F., Chen, M., Song, S.L. (2019). OO-VR: NUMA friendly object-oriented VR rendering framework for future NUMA-based multi-GPU systems. Proceedings - International Symposium on Computer Architecture, 53-65. https:/doi.org/10.1145/3307650.3322247
Ghosh, S., Halappanavar, M., Kalyanaraman, A., Khan, A., Gebremedhin, A.H. (2019). Exploring MPI communication models for graph applications using graph matching as a case study. Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium, IPDPS 2019, 761-770. https:/doi.org/10.1109/IPDPS.2019.00085
Guan, S., Ma, H., Wu, Y. (2019). Attribute-driven backbone discovery. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 187-195. https:/doi.org/10.1145/3292500.3330934
Chen, P.-Y., Choudhury, S., Rodriguez, L., Hero, A.O., Ray, I. (2019). Toward cyber-resiliency metrics for action recommendations against lateral movement attacks. Advances in Information Security, 75, 71-92. https:/doi.org/10.1007/978-3-030-18214-4_5
Mutlu, E., Panyala, A., Krishnamoorthy, S. (2019). HPC Software Verification in Action: A Case Study with Tensor Transposition. Proceedings of Correctness 2018: 2nd International Workshop on Software Correctness for HPC Applications, Held in conjunction with SC 2018: The International Conference for High Performance Computing, Networking, Storage and Analysis, 9-16. https:/doi.org/10.1109/Correctness.2018.00006
Ishiuchi, S.-I., Wako, H., Xantheas, S.S., Fujii, M. (2019). Probing the selectivity of Li+ and Na+ cations on noradrenaline at the molecular level. Faraday Discussions, 217, 396-413. https:/doi.org/10.1039/c8fd00186c
Hofer, W., Edgar, T., Vrabie, D., Nowak, K. (2019). Model-driven Deception for Control System Environments. 2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019. https:/doi.org/10.1109/HST47167.2019.9032927
Joardar, B.K., Ghosh, P., Pande, P.P., Kalyanaraman, A., Krishnamoorthy, S. (2019). Noc-enabled software/hardware co-design framework for accelerating k-mer counting. Proceedings of the 13th IEEE/ACM International Symposium on Networks-on-Chip, NOCS 2019. https:/doi.org/10.1145/3313231.3352367
Subasi, O., Tipireddy, R., Krishnamoorthy, S. (2019). Quantification, Trade-off Analysis, and Optimal Checkpoint Placement for Reliability and Availability. Proceedings - 25th IEEE International Conference on High Performance Computing, HiPC 2018, 183-192. https:/doi.org/10.1109/HiPC.2018.00029
Tumeo, A., Castellana, V.G., Feo, J. (2019). Message from the workshop co-chairs. 2019 IEEE/ACM 9th Workshop on Irregular Applications: Architectures and Algorithms, IA3 2019. https:/doi.org/10.1109/IA349570.2019.00004
2018
Jurrus, E., Engel, D., Star, K., Monson, K., Brandi, J., Felberg, L.E., Brookes, D.H., Wilson, L., Chen, J., Liles, K., Chun, M., Li, P., Gohara, D.W., Dolinsky, T., Konecny, R., Koes, D.R., Nielsen, J.E., Head-Gordon, T., Geng, W., Krasny, R., Wei, G.-W., Holst, M.J., McCammon, J.A., Baker, N.A. (2018). Improvements to the APBS biomolecular solvation software suite. Protein Science, 27 (1),112-128. https:/doi.org/10.1002/pro.3280
Wang, L., Ye, J., Zhao, Y., Wu, W., Li, A., Song, S.L., Xu, Z., Kraska, T. (2018). SuperNeurons: Dynamic GPU memory management for training deep neural networks. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, 41-53. https:/doi.org/10.1145/3178487.3178491
Seo, S., Amer, A., Balaji, P., Bordage, C., Bosilca, G., Brooks, A., Carns, P., Castello, A., Genet, D., Herault, T., Iwasaki, S., Jindal, P., Kale, L.V., Krishnamoorthy, S., Lifflander, J., Lu, H., Meneses, E., Snir, M., Sun, Y., Taura, K., Beckman, P. (2018). Argobots: A Lightweight Low-Level Threading and Tasking Framework. IEEE Transactions on Parallel and Distributed Systems, 29 (3),512-526. https:/doi.org/10.1109/TPDS.2017.2766062
Mukhopadhyay, A., Xantheas, S.S., Saykally, R.J. (2018). The water dimer II: Theoretical investigations. Chemical Physics Letters, 700, 163-175. https:/doi.org/10.1016/j.cplett.2018.03.057
Ling, B., Oostrom, M., Tartakovsky, A.M., Battiato, I. (2018). Hydrodynamic dispersion in thin channels with micro-structured porous walls. Physics of Fluids, 30 (7). https:/doi.org/10.1063/1.5031776
Tallent, N.R., Gawande, N.A., Siegel, C., Vishnu, A., Hoisie, A. (2018). Evaluating On-Node GPU interconnects for deep learning workloads. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10724, 3-21. https:/doi.org/10.1007/978-3-319-72971-8_1
Ghosh, S., Halappanavar, M., Tumeo, A., Kalyanaraman, A., Lu, H., Chavarria-Miranda, D., Khan, A., Gebremedhin, A. (2018). Distributed louvain algorithm for graph community detection. Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018, 885-895. https:/doi.org/10.1109/IPDPS.2018.00098
Song, Q., Wu, Y., Lin, P., Dong, L.X., Sun, H. (2018). Mining Summaries for Knowledge Graph Search. IEEE Transactions on Knowledge and Data Engineering, 30 (10),1887-1900. https:/doi.org/10.1109/TKDE.2018.2807442
Feldman, D.R., Collins, W.D., Biraud, S.C., Risser, M.D., Turner, D.D., Gero, P.J., Tadić, J., Helmig, D., Xie, S., Mlawer, E.J., Shippert, T.R., Torn, M.S. (2018). Observationally derived rise in methane surface forcing mediated by water vapour trends. Nature Geoscience, 11 (4),238-243. https:/doi.org/10.1038/s41561-018-0085-9
Veličković, D., Chu, R.K., Carrell, A.A., Thomas, M., Paša-Tolić, L., Weston, D.J., Anderton, C.R. (2018). Multimodal MSI in Conjunction with Broad Coverage Spatially Resolved MS2 Increases Confidence in Both Molecular Identification and Localization. Analytical Chemistry, 90 (1),702-707. https:/doi.org/10.1021/acs.analchem.7b04319
Peng, B., Kowalski, K. (2018). Green's Function Coupled-Cluster Approach: Simulating Photoelectron Spectra for Realistic Molecular Systems. Journal of Chemical Theory and Computation, 14 (8),4335-4352. https:/doi.org/10.1021/acs.jctc.8b00313
Shen, D., Li, A., Song, S.L., Liu, X. (2018). Cudaadvisor: Llvm-based runtime profiling for modern GPUs. CGO 2018 - Proceedings of the 2018 International Symposium on Code Generation and Optimization, 2018, 214-227. https:/doi.org/10.1145/3168831
Li, A., Song, S.L., Chen, J., Liu, X., Tallent, N., Barker, K. (2018). Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite. 2018 IEEE International Symposium on Workload Characterization, IISWC 2018, 191-202. https:/doi.org/10.1109/IISWC.2018.8573483
Heindel, J.P., Yu, Q., Bowman, J.M., Xantheas, S.S. (2018). Benchmark Electronic Structure Calculations for H3O+(H2O)n, n = 0-5, Clusters and Tests of an Existing 1,2,3-Body Potential Energy Surface with a New 4-Body Correction. Journal of Chemical Theory and Computation, 14 (9),4553-4566. https:/doi.org/10.1021/acs.jctc.8b00598
Ansari, T.Q., Xiao, Z., Hu, S., Li, Y., Luo, J.-L., Shi, S.-Q. (2018). Phase-field model of pitting corrosion kinetics in metallic materials. npj Computational Materials, 4 (1). https:/doi.org/10.1038/s41524-018-0089-4
Li, A., Liu, W., Wang, L., Barker, K., Song, S.L. (2018). Warp-consolidation: A novel execution model for GPUs. Proceedings of the International Conference on Supercomputing ,53-64. https:/doi.org/10.1145/3205289.3205294
Peng, B., Kowalski, K. (2018). Properties of advanced coupled-cluster Green's function. Molecular Physics, 116 (5-6),561-569. https:/doi.org/10.1080/00268976.2017.1351630
Naas, A.E., Solden, L.M., Norbeck, A.D., Brewer, H., Hagen, L.H., Heggenes, I.M., McHardy, A.C., Mackie, R.I., Paša-Tolic, L., Arntzen, M.Ø., Eijsink, V.G.H., Koropatkin, N.M., Hess, M., Wrighton, K.C., Pope, P.B. (2018). "Candidatus Paraporphyromonas polyenzymogenes" encodes multi-modular cellulases linked to the type IX secretion system. Microbiome, 6 (1). https:/doi.org/10.1186/s40168-018-0421-8
Ye, F.X.-F., Stinis, P., Qian, H. (2018). Dynamic looping of a free-draining polymer. SIAM Journal on Applied Mathematics, 78 (1),104-123. https:/doi.org/10.1137/17M1127260
Melton, R.B., Schneider, K.P., Lightner, E., McDermott, T.E., Sharma, P., Zhang, Y., Ding, F., Vadari, S., Podmore, R., Dubey, A., Wies, R.W., Stephan, E.G. (2018). Leveraging standards to create an open platform for the development of advanced distribution applications. IEEE Access, 6 ,37361-37370. https:/doi.org/10.1109/ACCESS.2018.2851186
Pan, L., Gao, P., Tervoort, E., Tartakovsky, A.M., Niederberger, M. (2018). Surface energy-driven ex situ hierarchical assembly of low-dimensional nanomaterials on graphene aerogels: A versatile strategy. Journal of Materials Chemistry A, 6 (38),18551-18560. https:/doi.org/10.1039/c8ta07338d
Nandanoori, S.P., Kundu, S., Vrabie, D., Kalsi, K., Lian, J. (2018). Prioritized Threshold Allocation for Distributed Frequency Response. 2018 IEEE Conference on Control Technology and Applications, CCTA 2018, 237-244. https:/doi.org/10.1109/CCTA.2018.8511411
Huang, R., Jin, S., Chen, Y., Diao, R., Palmer, B., Huang, Q., Huang, Z. (2018). Faster than real-time dynamic simulation for large-size power system with detailed dynamic models using high-performance computing platform. IEEE Power and Energy Society General Meeting, 2018, 1-5. https:/doi.org/10.1109/PESGM.2017.8274505
Escorihuela, L., Fernández, A., Rallo, R., Martorell, B. (2018). Molecular dynamics simulations of zinc oxide solubility: From bulk down to nanoparticles. Food and Chemical Toxicology, 112, 518-525. https:/doi.org/10.1016/j.fct.2017.07.038
Subasi, O., Di, S., Bautista-Gomez, L., Balaprakash, P., Unsal, O., Labarta, J., Cristal, A., Krishnamoorthy, S., Cappello, F. (2018). Exploring the capabilities of support vector machines in detecting silent data corruptions. Sustainable Computing: Informatics and Systems, 19, 277-290. https:/doi.org/10.1016/j.suscom.2018.01.004
Silber, I., Verlinde, J., Eloranta, E.W., Flynn, C.J., Flynn, D.M. (2018). Polar Liquid Cloud Base Detection Algorithms for High Spectral Resolution or Micropulse Lidar Data. Journal of Geophysical Research: Atmospheres, 123 (8),4310-4322. https:/doi.org/10.1029/2017JD027840
Roy, P., Song, S.L., Krishnamoorthy, S., Vishnu, A., Sengupta, D., Liu, X. (2018). NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks. ACM Transactions on Architecture and Code Optimization, 15 (2). https:/doi.org/10.1145/3199605
Zhou, W., Liang, L., Zhang, H., Lumsdaine, A., Lin, L. (2018). Scale and Orientation Aware EPI-Patch Learning for Light Field Depth Estimation. Proceedings - International Conference on Pattern Recognition, 2018- ,2362-2367. https:/doi.org/10.1109/ICPR.2018.8545490
Liu, G., Miliordos, E., Ciborowski, S.M., Tschurl, M., Boesl, U., Heiz, U., Zhang, X., Xantheas, S.S., Bowen, K. (2018). Communication: Water activation and splitting by single metal-atom anions. Journal of Chemical Physics, 149 (22). https:/doi.org/10.1063/1.5050913
Duan, Q., Al-Shaer, E., Chatterjee, S., Halappanavar, M., Oehmen, C. (2018). Proactive routing mutation against stealthy Distributed Denial of Service attacks: metrics, modeling, and analysis. Journal of Defense Modeling and Simulation, 15 (2),219-230. https:/doi.org/10.1177/1548512917731002
Setyawan, W., Cooper, M.W.D., Roche, K.J., Kurtz, R.J., Uberuaga, B.P., Andersson, D.A., Wirth, B.D. (2018). Atomistic model of xenon gas bubble re-solution rate due to thermal spike in uranium oxide. Journal of Applied Physics, 124 (7). https:/doi.org/10.1063/1.5042770
Friese, R.D., Halappanavar, M., Sathanur, A.V., Schram, M., Kerbyson, D.J., de la Torre, L. (2018). Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10773, 103-121. https:/doi.org/10.1007/978-3-319-77398-8_6
Tang, Q., Xie, S., Zhang, Y., Phillips, T.J., Santanello, J.A., Cook, D.R., Riihimaki, L.D., Gaustad, K.L. (2018). Heterogeneity in Warm-Season Land-Atmosphere Coupling Over the U.S. Southern Great Plains. Journal of Geophysical Research: Atmospheres, 123 (15),7867-7882. https:/doi.org/10.1029/2018JD028463
Peng, B., Kowalski, K. (2018). Green's function coupled cluster formulations utilizing extended inner excitations. Journal of Chemical Physics, 149 (21). https:/doi.org/10.1063/1.5046529
Yang, X., Lei, H., Gao, P., Thomas, D.G., Mobley, D.L., Baker, N.A. (2018). Atomic Radius and Charge Parameter Uncertainty in Biomolecular Solvation Energy Calculations. Journal of Chemical Theory and Computation, 14 (2),759-767. https:/doi.org/10.1021/acs.jctc.7b00905
Rosenthal, W.S., Tartakovsky, A.M., Huang, Z. (2018). Ensemble Kalman Filter for Dynamic State Estimation of Power Grids Stochastically Driven by Time-Correlated Mechanical Input Power. IEEE Transactions on Power Systems, 33 (4),3701-3710. https:/doi.org/10.1109/TPWRS.2017.2764492
Blaziak, K., Tzeli, D., Xantheas, S.S., Uggerud, E. (2018). The activation of carbon dioxide by first row transition metals (Sc-Zn). Physical Chemistry Chemical Physics, 20 (39),25495-25505. https:/doi.org/10.1039/c8cp04231d
Purvine, E., Aksoy, S., Joslyn, C., Nowak, K., Praggastis, B., Robinson, M. (2018). A topological approach to representational data models. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10904, 90-109. https:/doi.org/10.1007/978-3-319-92043-6_8
Hong, C., Sukumaran-Rajam, A., Kim, J., Rawat, P.S., Krishnamoorthy, S., Pouchet, L.-N., Rastello, F., Sadayappan, P. (2018). GPU code optimization using abstract kernel emulation and sensitivity analysis. Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI),736-751. https:/doi.org/10.1145/3192366.3192397
Castallana, V.G., Minutoli, M. (2018). SHAD: The scalable high-performance algorithms and data-structures library. Proceedings - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018, 442-451. https:/doi.org/10.1109/CCGRID.2018.00071
Song, Q., Zong, B., Wu, Y., Tang, L.-A., Zhang, H., Jiang, G., Chen, H. (2018). TGNet: Learning to rank nodes in temporal graphs. International Conference on Information and Knowledge Management, Proceedings,97-106. https:/doi.org/10.1145/3269206.3271698
Wang, L., Ye, J., Zhao, Y., Wu, W., Li, A., Song, S.L., Xu, Z., Kraska, T. (2018). SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks. ACM SIGPLAN Notices, 53 (1),41-53. https:/doi.org/10.1145/3178487.3178491
Kundu, S., Ramachandran, T., Chen, Y., Vrabie, D. (2018). Optimal Energy Consumption Forecast for Grid Responsive Buildings: A Sensitivity Analysis. 2018 IEEE Conference on Control Technology and Applications, CCTA 2018, 230-236. https:/doi.org/10.1109/CCTA.2018.8511607
Kanewala, T., Zalewski, M., Lumsdaine, A. (2018). Parallel asynchronous distributed-memory maximal independent set algorithm with work ordering. Proceedings - 24th IEEE International Conference on High Performance Computing, HiPC 2017, 2017, 52-61. https:/doi.org/10.1109/HiPC.2017.00016
Aksoy, S.G., Purvine, E., Cotilla-Sanchez, E., Halappanavar, M., Lambiotte, R. (2018). A generative graph model for electrical infrastructure networks. Journal of Complex Networks, 7 (1),128-162. https:/doi.org/10.1093/comnet/cny016
Firoz, J.S., Zalewski, M., Lumsdaine, A., Barnas, M. (2018). Runtime scheduling policies for distributed graph algorithms. Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018, 640-649. https:/doi.org/10.1109/IPDPS.2018.00073
Hou, G.-L., Govind, N., Xantheas, S.S., Wang, X.-B. (2018). Deviation from the trans-Effect in Ligand-Exchange Reactions of Zeise's Ions PtCl3(C2H4)- with Heavier Halides (Br-, I-). Journal of Physical Chemistry A, 122 (5),1209-1214. https:/doi.org/10.1021/acs.jpca.7b10808
Tipireddy, R., Stinis, P., Tartakovsky, A.M. (2018). Stochastic basis adaptation and spatial domain decomposition for partial differential equations with random coefficients. SIAM-ASA Journal on Uncertainty Quantification, 6 (1),273-301. https:/doi.org/10.1137/16M1097134
Bakker, C., Halappanavar, M., Visweswara Sathanur, A. (2018). Dynamic graphs, community detection, and Riemannian geometry. Applied Network Science, 3 (1). https:/doi.org/10.1007/s41109-018-0059-2
Hodas, N.O., Stinis, P. (2018). Doing the impossible: Why neural networks can be trained at all. Frontiers in Psychology, 9. https:/doi.org/10.3389/fpsyg.2018.01185
Barajas-Solano, D.A., Tartakovsky, A.M. (2018). Probability and cumulative density function methods for the stochastic advection-reaction equation. SIAM-ASA Journal on Uncertainty Quantification, 6 (1),180-212. https:/doi.org/10.1137/16M1109163
Lin, P., Song, Q., Shen, J., Wu, Y. (2018). Discovering graph patterns for fact checking in knowledge graphs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10827, 783-801. https:/doi.org/10.1007/978-3-319-91452-7_50
Kestor, G., Mutlu, B.O., Manzano, J., Subasi, O., Unsal, O., Krishnamoorthy, S. (2018). Comparative analysis of soft-error detection strategies: A case study with iterative methods. 2018 ACM International Conference on Computing Frontiers, CF 2018 - Proceedings, 173-182. https:/doi.org/10.1145/3203217.3203240
McDermott, T.E., Stephan, E.G., Gibson, T.D. (2018). Alternative Database Designs for the Distribution Common Information Model. Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference, 2018-. https:/doi.org/10.1109/TDC.2018.8440470
Kestor, G., Peng, I.B., Gioiosa, R., Krishnamoorthy, S. (2018). Understanding scale-dependent soft-error behavior of scientific applications. Proceedings - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018, 482-491. https:/doi.org/10.1109/CCGRID.2018.00075
Stetcu, I., Bulgac, A., Jin, S., Roche, K.J., Schunck, N. (2018). Real time description of fission. Proceedings of the 15th International Conference on Nuclear Reaction Mechanisms, NRM 2018, 197-202. https:/doi.org/-
Wickramasinghe, U., Lumsdaine, A. (2018). RMalloc() and RpIPE(): A uGNI-based distributed remote memory allocator and access library for one-sided messaging. Proceedings of the 8th International Workshop on Runtime and Operating Systems for Supercomputers, ROSS 2018 - In conjunction with HPDC 2018. https:/doi.org/10.1145/3217189.3217191
Hong, C., Sukumaran-Rajam, A., Kim, J., Rawat, P.S., Krishnamoorthy, S., Pouchet, L.-N., Rastello, F., Sadayappan, P. (2018). POSTER: Performance modeling for GPUs using abstract kernel emulation. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, 397-398. https:/doi.org/10.1145/3178487.3178524
Subasi, O., Krishnamoorthy, S. (2018). On the theory of speculative checkpointing: Time and energy considerations. 2018 ACM International Conference on Computing Frontiers, CF 2018 - Proceedings, 165-172. https:/doi.org/10.1145/3203217.3203232
Firoz, J.S., Zalewski, M., Lumsdaine, A. (2018). POSTER: A scalable distance-1 vertex coloring algorithm for power-law graphs. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, 391-392. https:/doi.org/10.1145/3178487.3178521
Kanewala, T.A., Zalewski, M., Lumsdaine, A. (2018). Distributed, shared-memory parallel triangle counting. Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2018. https:/doi.org/10.1145/3218176.3218229
Roy, P., Krishnamoorthy, S., Song, S.L., Liu, X. (2018). Lightweight detection of cache conflicts. CGO 2018 - Proceedings of the 2018 International Symposium on Code Generation and Optimization, 2018, 200-213. https:/doi.org/10.1145/3168819
Kowalski, K., Brabec, J., Peng, B. (2018). Regularized and Renormalized Many-Body Techniques for Describing Correlated Molecular Systems: A Coupled-Cluster Perspective. Annual Reports in Computational Chemistry, 14, 3-45. https:/doi.org/10.1016/bs.arcc.2018.06.001
Young, S.J., Makarov, Y., Diao, R., Fan, R., Huang, R., Orbrien, J., Halappanavar, M., Vallem, M., Huang, Z.H. (2018). Synthetic Power Grids from Real World Models. IEEE Power and Energy Society General Meeting, 2018-. https:/doi.org/10.1109/PESGM.2018.8585792
Escorihuela, L., Martorell, B., Rallo, R., Fernández, A. (2018). Toward computational and experimental characterisation for risk assessment of metal oxide nanoparticles. Environmental Science: Nano, 5 (10),2241-2251. https:/doi.org/10.1039/c8en00389k
Zhou, W., Li, P., Lumsdaine, A., Lin, L. (2018). Light-field flow: A subpixel-accuracy depth flow estimation with geometric occlusion model from a single light-field image. Proceedings - International Conference on Image Processing, ICIP, 2017, 1632-1636. https:/doi.org/10.1109/ICIP.2017.8296558
Bruillard, P., Ortiz-Marrero, C.M. (2018). Classification of rank 5 premodular categories. Journal of Mathematical Physics, 59 (1). https:/doi.org/10.1063/1.5020256
Hong, C., Sukumaran-Rajam, A., Kim, J., Rawat, P.S., Krishnamoorthy, S., Pouchet, L.-N., Rastello, F., Sadayappan, P. (2018). GPU code optimization using abstract kernel emulation and sensitivity analysis. ACM SIGPLAN Notices, 53 (4),736-751. https:/doi.org/10.1145/3192366.3192397
Panyala, A., Subasi, O., Halappanavar, M., Kalyanaraman, A., Chavarría-Miranda, D., Krishnamoorthy, S. (2018). Approximate Computing Techniques for Iterative Graph Algorithms. Proceedings - 24th IEEE International Conference on High Performance Computing, HiPC 2017, 2017- ,23-32. https:/doi.org/10.1109/HiPC.2017.00013
Chamberlin, J., Zalewski, M., McMillan, S., Lumsdaine, A. (2018). PyGB: GraphBLAS DSL in python with dynamic compilation into efficient C++. Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018, 310-319. https:/doi.org/10.1109/IPDPSW.2018.00059
Yang, X., Li, W., Tartakovsky, A. (2018). Sliced-inverse-regression-aided rotated compressive sensing method for uncertainty quantification. SIAM-ASA Journal on Uncertainty Quantification, 6 (4),1532-1554. https:/doi.org/10.1137/17M1148955
Chakraborty, I., Vrabie, D. (2018). Fault Detection for Dynamical Systems using Differential Geometric and Concurrent Learning Approach. IFAC-PapersOnLine, 51 (24),1395-1402. https:/doi.org/10.1016/j.ifacol.2018.09.552
Ritter, M., Wood, L., Kuhr, T., Bracko, M., Elsethagen, T., Fox, K., Hall, J., Pulvermacher, C., Raju, B., Schram, M., Stephan, E. (2018). Belle II Conditions Database. Journal of Physics: Conference Series, 1085 (3). https:/doi.org/10.1088/1742-6596/1085/3/032032
Chen, Y., Etingov, P., Fitzhenry, E., Sharma, P., Nguyen, T., Makarov, Y., Rice, M., Allwardt, C., Widergren, S. (2018). Bringing probabilistic analysis capability from planning to operation. Control Engineering Practice, 71, 18-25. https:/doi.org/10.1016/j.conengprac.2017.06.006
Li, W., Lian, J., Engel, D., Wang, H. (2018). Ensemble-based uncertainty quantification for coordination and control of thermostatically controlled loads. Journal of Control and Decision, 5 (2),148-168. https:/doi.org/10.1080/23307706.2017.1353931
Chen, Y., Palmer, B., Sharma, P., Yuan, Y., Mathew, B., Huang, Z. (2018). A High Performance Computational Framework for Dynamic Security Assessment under Uncertainty. Conference Record of the 3rd IEEE International Workshop on Electronic Power Grid, eGrid 2018. https:/doi.org/10.1109/eGRID.2018.8598684
Tumeo, A., Franke, H., Palermo, G., Feo, J. (2018). Guest Editorial: Special Issue on Computing Frontiers. International Journal of Parallel Programming, 46 (2),333-335. https:/doi.org/10.1007/s10766-018-0556-z
Chakraborty, I., Chakraborty, R., Vrabie, D. (2018). Generative adversarial network based autoencoder: Application to fault detection problem for closed-loop dynamical systems ∗. CEUR Workshop Proceedings, 2289. https:/doi.org/-
Tartakovsky, A.M. (2018). Effective Stochastic Model For Reactive Transport. Reactive Transport Modeling: Applications in Subsurface Energy and Environmental Problems ,511-531. https:/doi.org/10.1002/9781119060031.ch11
Ghosh, S., Halappanavar, M., Tumeo, A., Kalyanaraman, A., Gebremedhin, A.H. (2018). Scalable Distributed Memory Community Detection Using Vite. 2018 IEEE High Performance Extreme Computing Conference, HPEC 2018. https:/doi.org/10.1109/HPEC.2018.8547534
Shekar, V., Fiondella, L., Chatterjee, S., Halappanavar, M. (2018). A game-theoretic method to efficiently assess the vulnerability of a dynamic transportation network. PSAM 2018 - Probabilistic Safety Assessment and Management. https:/doi.org/-
Palmer, B. (2018). Coarse-grained hydrodynamics from correlation functions. Physical Review E, 97 (2). https:/doi.org/10.1103/PhysRevE.97.022106
Schram, M., Bansal, V., Ledesma, A. (2018). The management of heterogeneous resources in Belle II. Journal of Physics: Conference Series, 1085 (3). https:/doi.org/10.1088/1742-6596/1085/3/032006
Friese, R.D., Crowder, J.A., Siegel, H.J., Carbone, J.N. (2018). Bi-objective study for the assignment of unmanned aerial vehicles to targets. 2018 World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2018 - Proceedings of the 2018 International Conference on Artificial Intelligence, ICAI 2018. https:/doi.org/-
Firoz, J.S., Zalewski, M., Lumsdaine, A. (2018). POSTER: A Scalable Distance-1 Vertex Coloring Algorithm for Power-Law Graphs. ACM SIGPLAN Notices, 53 (1),391-392. https:/doi.org/10.1145/3178487.3178521
Wickramasinghe, U., Lumsdaine, A. (2018). Enabling efficient inter-node message passing and remote memory access via a uGNI based light-weight network substrate for cray interconnects. Proceedings - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2018, 578-588. https:/doi.org/10.1109/CCGRID.2018.00006
Kim, J., Sukumaran-Rajam, A., Hong, C., Panyala, A., Srivastava, R.K., Krishnamoorthy, S., Sadayappan, P. (2018). Optimizing tensor contractions in CCSD(T) for efficient execution on GPUs. Proceedings of the International Conference on Supercomputing, 96-106. https:/doi.org/10.1145/3205289.3205296
Vallem, M.R., Vyakaranam, B., Tipireddy, R., Holzer, J.T., Makarov, Y.V., Samaan, N.A. (2018). Stochastic correlation analysis to rank the impact of intermittent wind generation on unreliability margins of power systems. 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Proceedings. https:/doi.org/10.1109/PMAPS.2018.8440541
Tumeo, A. (2018). Architecture independent integrated early performance and energy estimation. 2017 8th International Green and Sustainable Computing Conference, IGSC 2017, 2017,1-6. https:/doi.org/10.1109/IGCC.2017.8323602
Chin, G., Fitzhenry, E., McBain, A., Beus, S., Marinovici, L., Hansen, J., Studarus, K. (2018). Visual steering and modeling environment for smart grid models and simulations. IEEE Power and Energy Society General Meeting, 2018,1-5. https:/doi.org/10.1109/PESGM.2017.8274093
Kassianov, E., Monroe, J., Riihimaki, L., Flynn, C., Cromwell, E., Hodges, G., McComiskey, A. (2018). Climatology of aerosol optical depth at mid-continental US site: Ground-based observations. Proceedings of SPIE - The International Society for Optical Engineering, 10786. https:/doi.org/10.1117/12.2326690
Bhatia, U., Chatterjee, S., Ganguly, A.R., Gao, J., Halappanavar, M., Oster, M., Clark, K., Brigantic, R., Tipireddy, R. (2018). Aviation Transportation, Cyber Threats, and Network-of-Networks: Modeling Perspectives for Translating Theory to Practice. 2018 IEEE International Symposium on Technologies for Homeland Security, HST 2018. https:/doi.org/10.1109/THS.2018.8574123
Kalyanaraman, A., Halappanavar, M. (2018). Guest editorial: Advances in parallel graph processing: Algorithms, architectures, and application frameworks. IEEE Transactions on Multi-Scale Computing Systems, 4 (3),188-189. https:/doi.org/10.1109/TMSCS.2018.2858297
Abdesselam, A., Adachi, I., Adamczyk, K., Ahn, J.K., Aihara, H., Al Said, S., Arinstein, K., Arita, Y., Asner, et al. (2018). Measurement of the D∗− polarization in the decay B0 → D∗−τ+ντ. 10th International Workshop on the CKM Unitarity Triangle, CKM 2018. https:/doi.org/-
Choudhury, S., Purohit, S., Lin, P., Wu, Y., Holder, L., Agarwal, K. (2018). Percolator: Scalable pattern discovery in dynamic graphs. WSDM 2018 - Proceedings of the 11th ACM International Conference on Web Search and Data Mining, 2018- ,759-762. https:/doi.org/10.1145/3159652.3160589
Subasi, O., Chang, C.-K., Erez, M., Krishnamoorthy, S. (2018). Characterizing the impact of soft errors affecting floating-point ALUs using RTL-level fault injection. ACM International Conference Proceeding Series. https:/doi.org/10.1145/3225058.3225089
Liu, Y., Chase, J.M., Gorton, I., Rice, M., Wynne, A. (2018). Modelling and coordinating multi-source distributed power system models in service-oriented architecture. International Journal of High Performance Computing and Networking, 12 (2),191-206. https:/doi.org/10.1504/ijhpcn.2018.094369
Hong, C., Sukumaran-Rajam, A., Kim, J., Rawat, P.S., Krishnamoorthy, S., Pouchet, L.-N., Rastello, F., Sadayappan, P. (2018). POSTER: Performance Modeling for GPUs using Abstract Kernel Emulation. ACM SIGPLAN Notices, 53 (1),397-398. https:/doi.org/10.1145/3178487.3178524
Young, S.J., Makarov, Y., Diao, R., Halappanavar, M., Vallem, M., Fan, R., Huang, R., Orbrien, J., Huang, Z.H. (2018). Topological Power Grid Statistics from a Network-of-Networks Perspective. IEEE Power and Energy Society General Meeting, 2018-. https:/doi.org/10.1109/PESGM.2018.8586475
Friese, R.D., Tallent, N.R., Schram, M., Halappanavar, M., Barker, K.J. (2018). Optimizing Distributed Data-Intensive Workflows. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2018- ,279-289. https:/doi.org/10.1109/CLUSTER.2018.00045
2017
Li, Y., Hu, S., Sun, X., Stan, M. (2017). A review: Applications of the phase field method in predicting microstructure and property evolution of irradiated nuclear materials. npj Computational Materials, 3 (1). https:/doi.org/10.1038/s41524-017-0018-y
Li, A., Liu, W., Kristensen, M.R.B., Vinter, B., Wang, H., Hou, K., Marquez, A., Song, S.L. (2017). Exploring and analyzing the real impact of modern on-package memory on hpc scientific kernels. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017. https:/doi.org/10.1145/3126908.3126931
Warneke, J., Hou, G.-L., Aprà, E., Jenne, C., Yang, Z., Qin, Z., Kowalski, K., Wang, X.-B., Xantheas, S.S. (2017). Electronic Structure and Stability of [B12X12]2- (X = F-At): A Combined Photoelectron Spectroscopic and Theoretical Study. Journal of the American Chemical Society, 139 (41),14749-14756. https:/doi.org/10.1021/jacs.7b08598
Liu, W., Li, A., Hogg, J.D., Duff, I.S., Vinter, B. (2017). Fast synchronization-free algorithms for parallel sparse triangular solves with multiple right-hand sides. Concurrency Computation, 29 (21). https:/doi.org/10.1002/cpe.4244
Peng, I.B., Gioiosa, R., Kestor, G., Cicotti, P., Laure, E., Markidis, S. (2017). Exploring the performance benefit of hybrid memory system on HPC environments. Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, 683-692. https:/doi.org/10.1109/IPDPSW.2017.115
Peng, I.B., Gioiosa, R., Kestor, G., Cicotti, P., Laure, E., Markidis, S. (2017). RTHMS: A tool for data placement on hybrid memory system. International Symposium on Memory Management, ISMM, 128677, 82-91. https:/doi.org/10.1145/3092255.3092273
Li, A., Song, S.L., Liu, W., Liu, X., Kumar, A., Corporaal, H. (2017). Locality-aware CTA Clustering for modern GPUs. International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS, 127193, 297-311. https:/doi.org/10.1145/3037697.3037709
Solanas, A., Casino, F., Batista, E., Rallo, R. (2017). Trends and challenges in smart healthcare research: A journey from data to wisdom. RTSI 2017 - IEEE 3rd International Forum on Research and Technologies for Society and Industry, Conference Proceedings. https:/doi.org/10.1109/RTSI.2017.8065986
Choudhury, S., Agarwal, K., Purohit, S., Zhang, B., Pirrung, M., Smith, W., Thomas, M. (2017). NOUS: Construction and querying of dynamic knowledge graphs. Proceedings - International Conference on Data Engineering, 1563-1565. https:/doi.org/10.1109/ICDE.2017.228
Ling, B., Bao, J., Oostrom, M., Battiato, I., Tartakovsky, A.M. (2017). Modeling variability in porescale multiphase flow experiments. Advances in Water Resources, 105, 29-38. https:/doi.org/10.1016/j.advwatres.2017.04.005
Ranshous, S., Joslyn, C.A., Kreyling, S., Nowak, K., Samatova, N.F., West, C.L., Winters, S. (2017). Exchange pattern mining in the bitcoin transaction directed hypergraph. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10323, 248-263. https:/doi.org/10.1007/978-3-319-70278-0_16
Peng, I.B., Markidis, S., Laure, E., Kestor, G., Gioiosa, R. (2017). Exploring Application Performance on Emerging Hybrid-Memory Supercomputers. Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, 473-480. https:/doi.org/10.1109/HPCC-SmartCity-DSS.2016.0074
Jin, S., Bulgac, A., Roche, K., Wlazłowski, G. (2017). Coordinate-space solver for superfluid many-fermion systems with the shifted conjugate-orthogonal conjugate-gradient method. Physical Review C, 95 (4). https:/doi.org/10.1103/PhysRevC.95.044302
Gawande, N.A., Landwehr, J.B., Daily, J.A., Tallent, N.R., Vishnu, A., Kerbyson, D.J. (2017). Scaling deep learning workloads: NVIDIA DGX-1/Pascal and Intel Knights Landing. Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, 399-408. https:/doi.org/10.1109/IPDPSW.2017.36
Varga, T., Droubay, T.C., Kovarik, L., Nandasiri, M.I., Shutthanandan, V., Hu, D., Kim, B., Jeon, S., Hong, S., Li, Y., Chambers, S.A. (2017). Coupled Lattice Polarization and Ferromagnetism in Multiferroic NiTiO3 Thin Films. ACS Applied Materials and Interfaces, 9 (26),21879-21890. https:/doi.org/10.1021/acsami.7b04481
Shigorina, E., Kordilla, J., Tartakovsky, A.M. (2017). Smoothed particle hydrodynamics study of the roughness effect on contact angle and droplet flow. Physical Review E, 96 (3). https:/doi.org/10.1103/PhysRevE.96.033115
Lu, H., Halappanavar, M., Chavarria-Miranda, D., Gebremedhin, A.H., Panyala, A., Kalyanaraman, A. (2017). Algorithms for balanced graph colorings with applications in parallel computing. IEEE Transactions on Parallel and Distributed Systems, 28 (5),1240-1256. https:/doi.org/10.1109/TPDS.2016.2620142
Bruillard, P., Galindo, C., Hagge, T., Ng, S.-H., Plavnik, J.Y., Rowell, E.C., Wang, Z. (2017). Fermionic modular categories and the 16-fold way. Journal of Mathematical Physics, 58 (4). https:/doi.org/10.1063/1.4982048
Peng, B., Kowalski, K. (2017). Highly Efficient and Scalable Compound Decomposition of Two-Electron Integral Tensor and Its Application in Coupled Cluster Calculations. Journal of Chemical Theory and Computation, 13 (9),4179-4192. https:/doi.org/10.1021/acs.jctc.7b00605
Cheng, G., Choi, K.S., Hu, X.H., Sun, X. (2017). Computational material design for Q&P steels with plastic instability theory. Materials and Design, 132, 526-538. https:/doi.org/10.1016/j.matdes.2017.07.029
Douberly, G.E., Miller, R.E., Xantheas, S.S. (2017). Formation of Exotic Networks of Water Clusters in Helium Droplets Facilitated by the Presence of Neon Atoms. Journal of the American Chemical Society, 139 (11),4152-4156. https:/doi.org/10.1021/jacs.7b00510
Halappanavar, M., Lu, H., Kalyanaraman, A., Tumeo, A. (2017). Scalable static and dynamic community detection using Grappolo. 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017. https:/doi.org/10.1109/HPEC.2017.8091047
Ren, B., Krishnamoorthy, S., Agrawal, K., Kulkarni, M. (2017). Exploiting vector and multicore parallelism for recursive, data- and task-parallel programs. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, 117-130. https:/doi.org/10.1145/3018743.3018763
Cheng, G., Hu, X.H., Choi, K.S., Sun, X. (2017). Predicting grid-size-dependent fracture strains of DP980 with a microstructure-based post-necking model. International Journal of Fracture, 207 (2),211-227. https:/doi.org/10.1007/s10704-017-0229-8
Namaki, M.H., Wu, Y., Song, Q., Lin, P., Ge, T. (2017). Discovering graph temporal association rules. International Conference on Information and Knowledge Management, Proceedings, 131841, 1697-1706. https:/doi.org/10.1145/3132847.3133014
Pan, W., Kim, K., Perego, M., Tartakovsky, A.M., Parks, M.L. (2017). Modeling electrokinetic flows by consistent implicit incompressible smoothed particle hydrodynamics. Journal of Computational Physics, 334, 125-144. https:/doi.org/10.1016/j.jcp.2016.12.042
Bañares, M.A., Haase, A., Tran, L., Lobaskin, V., Oberdörster, G., Rallo, R., Leszczynski, J., Hoet, P., Korenstein, R., Hardy, B., Puzyn, T. (2017). CompNanoTox2015: novel perspectives from a European conference on computational nanotoxicology on predictive nanotoxicology. Nanotoxicology, 11 (7),839-845. https:/doi.org/10.1080/17435390.2017.1371351
Tartakovsky, A.M., Panzeri, M., Tartakovsky, G.D., Guadagnini, A. (2017). Uncertainty Quantification in Scale-Dependent Models of Flow in Porous Media. Water Resources Research, 53 (11),9392-9401. https:/doi.org/10.1002/2017WR020905
Namaki, M.H., Lin, P., Wu, Y. (2017). Event pattern discovery by keywords in graph streams. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, 2018, 982-987. https:/doi.org/10.1109/BigData.2017.8258019
Kordilla, J., Noffz, T., Dentz, M., Geyer, T., Tartakovsky, A.M. (2017). Effect of Unsaturated Flow Modes on Partitioning Dynamics of Gravity-Driven Flow at a Simple Fracture Intersection: Laboratory Study and Three-Dimensional Smoothed Particle Hydrodynamics Simulations. Water Resources Research, 53 (11),9496-9518. https:/doi.org/10.1002/2016WR020236
Li, A., Song, S.L., Liu, W., Liu, X., Kumar, A., Corporaal, H. (2017). Locality-aware CTA clustering for modern GPUs. ACM SIGPLAN Notices, 52 (4),297-311. https:/doi.org/10.1145/3037697.3037709
Hawley, A.K., Torres-Beltrán, M., Zaikova, E., Walsh, D.A., Mueller, A., Scofield, M., Kheirandish, S., Payne, C., Pakhomova, L., Bhatia, M., Shevchuk, O., Gies, E.A., Fairley, D., Malfatti, S.A., Norbeck, A.D., Brewer, H.M., Pasa-Tolic, L., Del Rio, T.G., Suttle, C.A., Tringe, S., Hallam, S.J. (2017). A compendium of multi-omic sequence information from the Saanich Inlet water column. Scientific Data, 4. https:/doi.org/10.1038/sdata.2017.160
Willow, S.Y., Xantheas, S.S. (2017). Molecular-Level Insight of the Effect of Hofmeister Anions on the Interfacial Surface Tension of a Model Protein. Journal of Physical Chemistry Letters, 8 (7),1574-1577. https:/doi.org/10.1021/acs.jpclett.7b00069
Peng, B., Govind, N., Aprà, E., Klemm, M., Hammond, J.R., Kowalski, K. (2017). Coupled Cluster Studies of Ionization Potentials and Electron Affinities of Single-Walled Carbon Nanotubes. Journal of Physical Chemistry A, 121 (6),1328-1335. https:/doi.org/10.1021/acs.jpca.6b10874
Perarnau, S., Zounmevo, J.A., Dreher, M., Essen, B.C.V., Gioiosa, R., Iskra, K., Gokhale, M.B., Yoshii, K., Beckman, P. (2017). Argo NodeOS: Toward Unified Resource Management for Exascale. Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium, IPDPS 2017, 153-162. https:/doi.org/10.1109/IPDPS.2017.25
Subasi, O., Kestor, G., Krishnamoorthy, S. (2017). Toward a General Theory of Optimal Checkpoint Placement. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2017- ,464-474. https:/doi.org/10.1109/CLUSTER.2017.127
Cheng, G., Choi, K.S., Hu, X., Sun, X. (2017). Predicting Deformation Limits of Dual-Phase Steels Under Complex Loading Paths. JOM, 69 (6),1046-1051. https:/doi.org/10.1007/s11837-017-2333-7
Peng, I.B., Markidis, S., Gioiosa, R., Kestor, G., Laure, E. (2017). MPI Streams for HPC Applications. Advances in Parallel Computing, 30, 75-92. https:/doi.org/10.3233/978-1-61499-816-7-75
Subasi, O., Di, S., Balaprakash, P., Unsal, O., Labarta, J., Cristal, A., Krishnamoorthy, S., Cappello, F. (2017). MACORD: Online adaptive machine learning framework for silent error detection. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2017- ,717-724. https:/doi.org/10.1109/CLUSTER.2017.128
Hamm, P., Fanourgakis, G.S., Xantheas, S.S. (2017). A surprisingly simple correlation between the classical and quantum structural networks in liquid water. Journal of Chemical Physics, 147 (6). https:/doi.org/10.1063/1.4993166
Peng, I.B., Gioiosa, R., Kestor, G., Laure, E., Markidis, S. (2017). Preparing HPC Applications for the Exascale Era: A Decoupling Strategy. Proceedings of the International Conference on Parallel Processing, 1-10. https:/doi.org/10.1109/ICPP.2017.9
Soulami, A., Burkes, D.E., Joshi, V.V., Lavender, C.A., Paxton, D. (2017). Finite-element model to predict roll-separation force and defects during rolling of U-10Mo alloys. Journal of Nuclear Materials, 494, 182-191. https:/doi.org/10.1016/j.jnucmat.2017.07.006
Li, A., Zhao, W., Song, S.L. (2017). BVF: Enabling significant on-chip power savings via bit-value-favor for throughput processors. Proceedings of the Annual International Symposium on Microarchitecture, MICRO, 131207, 532-545. https:/doi.org/10.1145/3123939.3123944
Ashraf, R.A., Gioiosa, R., Kestor, G., DeMara, R.F. (2017). Exploring the effect of compiler optimizations on the reliability of hpc applications. Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, 1274-1283. https:/doi.org/10.1109/IPDPSW.2017.7
Tipireddy, R., Stinis, P., Tartakovsky, A.M. (2017). Basis adaptation and domain decomposition for steady-state partial differential equations with random coefficients. Journal of Computational Physics, 351, 203-215. https:/doi.org/10.1016/j.jcp.2017.08.067
Savic, V., Hector, L., Basu, U., Basudhar, A., Gandikota, I., Stander, N., Park, T., Pourboghrat, F., Choi, K.S., Sun, X., Hu, J., Abu-Farha, F., Kumar, S. (2017). Integrated Computational Materials Engineering (ICME) Multi-Scale Model Development for Advanced High Strength Steels. SAE Technical Papers, 2017- (March). https:/doi.org/10.4271/2017-01-0226
Xu, K., Schreiber, D.K., Li, Y., Johnson, B.R., McCloy, J. (2017). Effect of defects, magnetocrystalline anisotropy, and shape anisotropy on magnetic structure of iron thin films by magnetic force microscopy. AIP Advances, 7 (5). https:/doi.org/10.1063/1.4976580
Yoo, S., Xantheas, S.X. (2017). Structures, energetics, and spectroscopic fingerprints of water clusters n = 2−24. Handbook of Computational Chemistry, 1139-1173. https:/doi.org/10.1007/978-3-319-27282-5_21
Rivas-Gomez, S., Gioiosa, R., Peng, I.B., Kestor, G., Narasimhamurthy, S., Laure, E., Markidis, S. (2017). MPI windows on storage for HPC applications. ACM International Conference Proceeding Series. https:/doi.org/10.1145/3127024.3127034
Panyala, A., Chavarría-Miranda, D., Manzano, J.B., Tumeo, A., Halappanavar, M. (2017). Exploring performance and energy tradeoffs for irregular applications: A case study on the Tilera many-core architecture. Journal of Parallel and Distributed Computing, 104, 234-251. https:/doi.org/10.1016/j.jpdc.2016.06.006
Peng, B., Kowalski, K. (2017). Low-rank factorization of electron integral tensors and its application in electronic structure theory. Chemical Physics Letters, 672, 47-53. https:/doi.org/10.1016/j.cplett.2017.01.056
Tipireddy, R., Kumar, S. (2017). Spatially-degraded adhesive anchors under material uncertainty. International Journal of Adhesion and Adhesives, 76, 61-69. https:/doi.org/10.1016/j.ijadhadh.2017.02.010
Rubio-Herrero, J., Chandan, V., Siegel, C., Vishnu, A., Vrabie, D. (2017). A learning framework for control-oriented modeling of buildings. Proceedings - 16th IEEE International Conference on Machine Learning and Applications, ICMLA 2017, 2017, 473-478. https:/doi.org/10.1109/ICMLA.2017.00079
Rivas-Gomez, S., Markidis, S., Peng, I.B., Laure, E., Kestor, G., Gioiosa, R. (2017). Extending message passing interface windows to storage. Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017, 727-730. https:/doi.org/10.1109/CCGRID.2017.44
Tallent, N.R., Kerbyson, D.J., Hoisie, A. (2017). Representative paths analysis. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017. https:/doi.org/10.1145/3126908.3126962
Shekar, V., Fiondella, L., Chatterjee, S., Halappanavar, M. (2017). Quantitative assessment of transportation network vulnerability with dynamic traffic simulation methods. 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017. https:/doi.org/10.1109/THS.2017.7943454
Lifflander, J., Krishnamoorthy, S. (2017). Cache locality optimization for recursive programs. Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 128414, 1-16. https:/doi.org/10.1145/3062341.3062385
Castellana, V.G., Minutoli, M., Bhatt, S., Agarwal, K., Bleeker, A., Feo, J., Chavarria-Miranda, D., Haglin, D. (2017). High-Performance Data Analytics beyond the Relational and Graph Data Models with GEMS. Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, 1029-1038. https:/doi.org/10.1109/IPDPSW.2017.70
Sharma, V.C., Gopalakrishnan, G., Krishnamoorthy, S. (2017). PRESAGE: Protecting Structured Address Generation against Soft Errors. Proceedings - 23rd IEEE International Conference on High Performance Computing, HiPC 2016, 252-261. https:/doi.org/10.1109/HiPC.2016.037
Bulgac, A., Jin, S., Magierski, P., Roche, K., Schunck, N., Stetcu, I. (2017). Nuclear Fission: From more phenomenology and adjusted parameters to more fundamental theory and increased predictive power. EPJ Web of Conferences, 163. https:/doi.org/10.1051/epjconf/201716300007
Wang, X., Xu, Z., Soulami, A., Hu, X., Lavender, C., Joshi, V. (2017). Modeling Early-Stage Processes of U-10 Wt.%Mo Alloy Using Integrated Computational Materials Engineering Concepts. JOM, 69 (12),2532-2537. https:/doi.org/10.1007/s11837-017-2608-z
Stephan, E., Raju, B., Elsethagen, T., Pouchard, L., Gamboa, C. (2017). A scientific data provenance harvester for distributed applications. 2017 New York Scientific Data Summit, NYSDS 2017 - Proceedings. https:/doi.org/10.1109/NYSDS.2017.8085041
Subasi, O., Krishnamoorthy, S. (2017). A Gaussian Process Approach for Effective Soft Error Detection. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2017- ,608-612. https:/doi.org/10.1109/CLUSTER.2017.129
Tipireddy, R., Lerchen, M., Ramuhalli, P. (2017). Virtual sensors for robust on-line monitoring (OLM) and diagnostics. 10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017, 2, 719-728. https:/doi.org/-
Peng, I.B., Markidis, S., Laure, E., Kestor, G., Gioiosa, R. (2017). Idle period propagation in message-passing applications. Proceedings - 18th IEEE International Conference on High Performance Computing and Communications, 14th IEEE International Conference on Smart City and 2nd IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2016, 937-944. https:/doi.org/10.1109/HPCC-SmartCity-DSS.2016.0134
Amatya, V., Vishnu, A., Siegel, C., Daily, J. (2017). What does fault tolerant deep learning need from MPI?. ACM International Conference Proceeding Series. https:/doi.org/10.1145/3127024.3127037
Subasi, O., Unsal, O., Krishnamoorthy, S. (2017). Automatic risk-based selective redundancy for fault-tolerant task-parallel HPC applications. Proceedings of ESPM2 2017: 3rd International Workshop on Extreme Scale Programming Models and Middleware - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis. https:/doi.org/10.1145/3152041.3152083
Ceriani, M., Secchi, S., Villa, O., Tumeo, A., Palermo, G. (2017). Exploring efficient hardware support for applications with irregular memory patterns on multinode manycore architectures. IEEE Transactions on Parallel and Distributed Systems, 28 (6),1635-1648. https:/doi.org/10.1109/TPDS.2014.2345073
Saha, S., Vullikanti, A., Halappanavar, M. (2017). FlipNet: Modeling Covert and Persistent Attacks on Networked Resources. Proceedings - International Conference on Distributed Computing Systems, 2444-2451. https:/doi.org/10.1109/ICDCS.2017.298
Landwehr, J., Suetterlein, J., Manzano, J., Marquez, A., Barker, K.J., Gao, G.R. (2017). Designing scalable distributed memory models: A case study. ACM International Conference on Computing Frontiers 2017, CF 2017 ,174-182. https:/doi.org/10.1145/3075564.3077425
Ramachandran, T., Kundu, S., Chen, Y., Vrabie, D. (2017). Towards a framework for selection of supervisory control for commercial buildings: HVAC system energy efficiency. Proceedings of the American Control Conference, 2925-2930. https:/doi.org/10.23919/ACC.2017.7963395
Ward, T.B., Miliordos, E., Carnegie, P.D., Xantheas, S.S., Duncan, M.A. (2017). Ortho-para interconversion in cation-water complexes: The case of V+(H2O) and Nb+(H2O) clusters. Journal of Chemical Physics, 146 (22). https:/doi.org/10.1063/1.4984826
Singh, A., Stephan, E., Schram, M., Altintas, I. (2017). Deep learning on operational facility data related to large-scale distributed area scientific workflows. Proceedings - 13th IEEE International Conference on eScience, eScience 2017 ,586-591. https:/doi.org/10.1109/eScience.2017.94
Tipireddy, R., Chatterjee, S., Paulson, P., Oster, M., Halappanavar, M. (2017). Agent-centric approach for cybersecurity decision-support with partial observability. 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017. https:/doi.org/10.1109/THS.2017.7943478
Maglalang, J., Krishnamoorthy, S., Agrawal, K. (2017). Locality-Aware Dynamic Task Graph Scheduling. Proceedings of the International Conference on Parallel Processing ,70-80. https:/doi.org/10.1109/ICPP.2017.16
Ramuhalli, P., Tipireddy, R., Lerchen, M., Shumaker, B., Coble, J., Nair, A., Boring, S. (2017). Robust online monitoring for calibration assessment of transmitters and instrumentation. 10th International Topical Meeting on Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies, NPIC and HMIT 2017, 2, 1176-1184. https:/doi.org/-
Bylaska, E.J., Aprà, E., Kowalski, K., Jacquelin, M., De Jong, W.A., Vishnu, A., Palmer, B., Daily, J., Straatsma, T.P., Hammond, J.R., Klemm, M. (2017). Transitioning NWChem to the next generation of manycore machines. Exascale Scientific Applications: Scalability and Performance Portability, 165-186. https:/doi.org/10.1201/b21930
Kanewala, T., Zalewski, M., Lumsdaine, A. (2017). Distributed-memory fast maximal independent set. 2017 IEEE High Performance Extreme Computing Conference, HPEC 2017. https:/doi.org/10.1109/HPEC.2017.8091032
Wood, L., Elsethagen, T., Schram, M., Stephan, E. (2017). Conditions Database for the Belle II Experiment. Journal of Physics: Conference Series, 898 (4). https:/doi.org/10.1088/1742-6596/898/4/042060
Keller, M.T., Young, S.J. (2017). Combinatorial reductions for the Stanley depth of I and S/I. Electronic Journal of Combinatorics, 24 (3). https:/doi.org/10.37236/6783
Zhou, W., Lumsdaine, A., Lin, L., Zhang, W., Wang, R. (2017). Edge-aware light-field flow for depth estimation and occlusion detection. IS and T International Symposium on Electronic Imaging Science and Technology, 94-99. https:/doi.org/10.2352/ISSN.2470-1173.2017.17.COIMG-431
Schram, M., Bansal, V., Friese, R.D., Tallent, N.R., Yin, J., Barker, K.J., Stephan, E., Halappanavar, M., Kerbyson, D.J. (2017). Integrating prediction, provenance, and optimization into high energy workflows. Journal of Physics: Conference Series, 898 (6). https:/doi.org/10.1088/1742-6596/898/6/062052
Cottam, J.A., Blaha, L., Zarzhitsky, D., Thomas, M., Skomski, E. (2017). Crossing the Streams: Fuzz testing with user input. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, 2018, 4362-4371. https:/doi.org/10.1109/BigData.2017.8258466
Berikkyzy, Z., Cox, C., Dairyko, M., Hogenson, K., Kumbhat, M., Lidický, B., Messerschmidt, K., Moss, K., Nowak, K., Palmowski, K.F., Stolee, D. (2017). (4, 2)-Choosability of Planar Graphs with Forbidden Structures. Graphs and Combinatorics, 33 (4),751-787. https:/doi.org/10.1007/s00373-017-1812-5
Kanewala, T.A., Zalewski, M., Lumsdaine, A. (2017). Families of graph algorithms: SSSP case study. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10417, 428-441. https:/doi.org/10.1007/978-3-319-64203-1_31
Tumeo, A., Ceriani, M., Palermo, G., Minutoli, M., Castellana, V.G., Ferrandi, F. (2017). Real-time considerations for rugged embedded systems. Rugged Embedded Systems: Computing in Harsh Environments, 39-56. https:/doi.org/10.1016/B978-0-12-802459-1.00003-8
Rajbhandari, S., Rastello, F., Kowalski, K., Krishnamoorthy, S., Sadayappan, P. (2017). Optimizing the four-index integral transform using data movement lower bounds analysis. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, 327-340. https:/doi.org/10.1145/3018743.3018771
Sun, X., Cheng, G., Hu, X.H., Choi, K.S. (2017). Predicting size-dependent fracture strain of DP980. ICF 2017 - 14th International Conference on Fracture, 2 ,382-383. https:/doi.org/-
Sathanur, A.V., Choudhury, S., Joslyn, C., Purohit, S. (2017). When labels fall short: Property graph simulation via blending of network structure and vertex attributes. International Conference on Information and Knowledge Management, Proceedings, 131841, 2287-2290. https:/doi.org/10.1145/3132847.3133065
Purvine, E., Cotilla-Sanchez, E., Halappanavar, M., Huang, Z., Lin, G., Lu, S., Wang, S. (2017). Comparative study of clustering techniques for real-time dynamic model reduction. Statistical Analysis and Data Mining, 10 (5),263-276. https:/doi.org/10.1002/sam.11352
Gioiosa, R. (2017). Resilience for extreme scale computing. Rugged Embedded Systems: Computing in Harsh Environments, 123-148. https:/doi.org/10.1016/B978-0-12-802459-1.00005-1
Kassianov, E., Riley, E.A., Kleiss, J.M., Long, C.N., Riihimaki, L., Flynn, D., Flynn, C., Berg, L.K. (2017). Macrophysical properties of continental cumulus clouds from active and passive remote sensing. Proceedings of SPIE - The International Society for Optical Engineering, 10424. https:/doi.org/10.1117/12.2278029
Barker, K.J., Kerbyson, D.J. (2017). Portable methodologies for energy optimization on large-scale power-constrained systems. Exascale Scientific Applications: Scalability and Performance Portability, 1-16. https:/doi.org/10.1201/b21930
Purohit, S., Choudhury, S., Holder, L.B. (2017). Application-specific graph sampling for frequent subgraph mining and community detection. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, 2018, 1000-1005. https:/doi.org/10.1109/BigData.2017.8258022
Firoz, J.S., Kanewala, T.A., Zalewski, M., Barnas, M., Lumsdaine, A. (2017). Distributed Control: The Benefits of Eliminating Global Synchronization via Effective Scheduling in the Context of Graph Applications. ACM SIGPLAN Notices, 52 (8),441-442. https:/doi.org/10.1145/3018743.3019036
Minutoli, M., Castellana, V.G., Tumeo, A., Lattuada, M., Ferrandi, F. (2017). A dynamically scheduled architecture for the synthesis of graph methods. 2016 IEEE Hot Chips 28 Symposium, HCS 2016. https:/doi.org/10.1109/HOTCHIPS.2016.7936228
Suetterlein, J., Landwehr, J., Marquez, A., Manzano, J., Barker, K.J., Gao, G.R. (2017). Verification of the extended roofline model for asynchronous many task runtimes. Proceedings of ESPM2 2017: 3rd International Workshop on Extreme Scale Programming Models and Middleware - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis. https:/doi.org/10.1145/3152041.3152087
Getov, V., Macduff, M., Kerbyson, D.J., Hoisie, A. (2017). Application-Specific Energy Modeling of Multi-Core Processors. Advances in Parallel Computing, 30 ,35-54. https:/doi.org/10.3233/978-1-61499-816-7-35
Prasad, S.K., Banicescu, I., Barnas, M., Giménez, D., Lumsdaine, A. (2017). Keeping up with technology: Teaching Parallel, Distributed and High-Performance Computing. Journal of Parallel and Distributed Computing, 105, 1-3. https:/doi.org/10.1016/j.jpdc.2017.03.001
Gioiosa, R., Warfel, T., Tumeo, A., Friese, R. (2017). Pushing the limits of irregular access patterns on emerging network architecture: A case study. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2017- ,874-881. https:/doi.org/10.1109/CLUSTER.2017.125
Palmer, B. (2017). Application of PGAS programming to power grid simulation. Proceedings of PAW 2016: 1st PGAS Applications Workshop - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis, 33-40. https:/doi.org/10.1109/PAW.2016.010
Xu, Z., Tartakovsky, A.M. (2017). Method of model reduction and multifidelity models for solute transport in random layered porous media. Physical Review E, 96 (3). https:/doi.org/10.1103/PhysRevE.96.033314
Larche, M., Prowant, M., Bruillard, P., Hagge, T., Fifield, L.S., Hughes, M., Sun, X. (2017). A comparison of different NDE signal processing techniques based on waveform entropies applied to long fiber-graphite/epoxy-plates. Proceedings of SPIE - The International Society for Optical Engineering, 10169. https:/doi.org/10.1117/12.2260490
Firoz, J.S., Kancwala, T.A., Zalewskr, M., Barnas, M., Lumsdaine, A. (2017). Distributed control: The benefits of eliminating global synchronization via effective scheduling: In the context of graph applications. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, 441-442. https:/doi.org/10.1145/3018743.3019036
Shekar, V., Fiondella, L., Chatterjee, S., Halappanavar, M. (2017). Quantifying economic and environmental impacts of transportation network disruptions with dynamic traffic simulation. 2017 IEEE International Symposium on Technologies for Homeland Security, HST 2017. https:/doi.org/10.1109/THS.2017.7943472
Shippert, T., Gaustad, K. (2017). An architecture for consolidating multidimensional time-series data onto a common coordinate grid. Earth Science Informatics, 10 (2),247-256. https:/doi.org/10.1007/s12145-016-0285-z
Dunning, T.H. (2017). Foreword. Exascale Scientific Applications: Scalability and Performance Portability, xi-xii. https:/doi.org/10.1201/b21930
Ren, B., Krishnamoorthy, S., Agrawal, K., Kulkarni, M. (2017). Exploiting Vector and Multicore Parallelism for Recursive, Data- and Task-Parallel Programs. ACM SIGPLAN Notices, 52 (8),117-130. https:/doi.org/10.1145/3018743.3018763
Tumeo, A., Halappanavar, M., Feo, J. (2017). GraML 17 first workshop on the intersection of graph algorithms and machine learning. Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017, 1529-1530. https:/doi.org/10.1109/IPDPSW.2017.217
Tumeo, A., Feo, J., Villa, O. (2017). Foreword. Proceedings of IA3 2016 - 6th Workshop on Irregular Applications: Architectures and Algorithms, Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis, v-vi. https:/doi.org/10.1109/IA3.2016.004
Castellana, V.G., Tumeo, A., Minutoli, M., Lattuada, M., Ferrandi, F. (2017). Considerations on the use of custom accelerators for big data analytics. Big Data Management and Processing ,279-296. https:/doi.org/10.1201/9781315154008
Lifflander, J., Krishnamoorthy, S. (2017). Cache locality optimization for recursive programs. ACM SIGPLAN Notices, 52 (6),1-16. https:/doi.org/10.1145/3062341.3062385
Rajbhandari, S., Rastello, F., Kowalski, K., Krishnamoorthy, S., Sadayappan, P. (2017). Optimizing the Four-Index Integral Transform Using Data Movement Lower Bounds Analysis. ACM SIGPLAN Notices, 52 (8),327-340. https:/doi.org/10.1145/3018743.3018771
2016
Bulgac, A., Magierski, P., Roche, K.J., Stetcu, I. (2016). Induced Fission of Pu 240 within a Real-Time Microscopic Framework. Physical Review Letters, 116 (12). https:/doi.org/10.1103/PhysRevLett.116.122504
Yang, X., Mehmani, Y., Perkins, W.A., Pasquali, A., Schönherr, M., Kim, K., Perego, M., Parks, M.L., Trask, N., Balhoff, M.T., Richmond, M.C., Geier, M., Krafczyk, M., Luo, L.-S., Tartakovsky, A.M., Scheibe, T.D. (2016). Intercomparison of 3D pore-scale flow and solute transport simulation methods. Advances in Water Resources, 95, 176-189. https:/doi.org/10.1016/j.advwatres.2015.09.015
Tartakovsky, A.M., Panchenko, A. (2016). Pairwise Force Smoothed Particle Hydrodynamics model for multiphase flow: Surface tension and contact line dynamics. Journal of Computational Physics, 305, 1119-1146. https:/doi.org/10.1016/j.jcp.2015.08.037
Tartakovsky, A.M., Trask, N., Pan, K., Jones, B., Pan, W., Williams, J.R. (2016). Smoothed particle hydrodynamics and its applications for multiphase flow and reactive transport in porous media. Computational Geosciences, 20 (4),807-834. https:/doi.org/10.1007/s10596-015-9468-9
Cheng, G., Choi, K.S., Hu, X., Sun, X. (2016). Determining individual phase properties in a multi-phase Q&P steel using multi-scale indentation tests. Materials Science and Engineering A, 652, 384-395. https:/doi.org/10.1016/j.msea.2015.11.072
Willow, S.Y., Zeng, X.C., Xantheas, S.S., Kim, K.S., Hirata, S. (2016). Why Is MP2-Water ''Cooler'' and ''Denser'' than DFT-Water?. Journal of Physical Chemistry Letters, 7 (4),680-684. https:/doi.org/10.1021/acs.jpclett.5b02430
Miliordos, E., Xantheas, S.S. (2016). The origin of the reactivity of the criegee intermediate: Implications for atmospheric particle growth. Angewandte Chemie - International Edition, 55 (3),1015-1019. https:/doi.org/10.1002/anie.201509685
Dunning, T.H., Xu, L.T., Takeshita, T.Y., Lindquist, B.A. (2016). Insights into the Electronic Structure of Molecules from Generalized Valence Bond Theory. Journal of Physical Chemistry A, 120 (11),1763-1778. https:/doi.org/10.1021/acs.jpca.5b12335
Hu, X., Choi, K.S., Sun, X., Ren, Y., Wang, Y. (2016). Determining Individual Phase Flow Properties in a Quench and Partitioning Steel with In Situ High-Energy X-Ray Diffraction and Multiphase Elasto-Plastic Self-Consistent Method. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 47 (12),5733-5749. https:/doi.org/10.1007/s11661-016-3373-2
Tao, D., Song, S.L., Krishnamoorthy, S., Wu, P., Liang, X., Zhang, E.Z., Kerbyson, D., Chen, Z. (2016). New-sum: A novel online ABFT scheme for general iterative methods. HPDC 2016 - Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 43-55. https:/doi.org/10.1145/2907294.2907306
Wolke, C.T., Fournier, J.A., Miliordos, E., Kathmann, S.M., Xantheas, S.S., Johnson, M.A. (2016). Isotopomer-selective spectra of a single intact H2O molecule in the Cs+(D2O)5H2O isotopologue: Going beyond pattern recognition to harvest the structural information encoded in vibrational spectra. Journal of Chemical Physics, 144 (7). https:/doi.org/10.1063/1.4941285
Chen, P.-Y., Choudhury, S., Hero, A.O. (2016). Multi-centrality graph spectral decompositions and their application to cyber intrusion detection. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2016, 4553-4557. https:/doi.org/10.1109/ICASSP.2016.7472539
Peng, B., Kowalski, K. (2016). Coupled-cluster Green's function: Analysis of properties originating in the exponential parametrization of the ground-state wave function. Physical Review A, 94 (6). https:/doi.org/10.1103/PhysRevA.94.062512
Tang, Y.-H., Li, Z., Li, X., Deng, M., Karniadakis, G.E. (2016). Non-Equilibrium Dynamics of Vesicles and Micelles by Self-Assembly of Block Copolymers with Double Thermoresponsivity. Macromolecules, 49 (7),2895-2903. https:/doi.org/10.1021/acs.macromol.6b00365
Bao, W., Hong, C., Chunduri, S., Krishnamoorthy, S., Pouchet, L.-N., Rastello, F., Sadayappan, P. (2016). Static and dynamic frequency scaling on multicore CPUs. ACM Transactions on Architecture and Code Optimization, 13 (4). https:/doi.org/10.1145/3011017
Khan, A., Pothen, A., Patwary, Md.M.A., Satish, N.R., Sundaram, N., Manne, F., Halappanavar, M., Dubey, P. (2016). Efficient approximation algorithms for weighted b-matching. SIAM Journal on Scientific Computing, 38 (5), S593-S619. https:/doi.org/10.1137/15M1026304
Hong, C., Bao, W., Cohen, A., Krishnamoorthy, S., Pouchet, L.-N., Rastello, F., Ramanujam, J., Sadayappan, P. (2016). Effective padding of multidimensional arrays to avoid cache conflict misses. Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 13-17- ,129-144. https:/doi.org/10.1145/2908080.2908123
Tan, J., Song, S.L., Yan, K., Fu, X., Marquez, A., Kerbyson, D. (2016). Combating the Reliability Challenge of GPU Register File at Low Supply Voltage. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT, 3-15. https:/doi.org/10.1145/2967938.2967951
Sharma, V.C., Gopalakrishnan, G., Krishnamoorthy, S. (2016). Towards resiliency evaluation of vector programs. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, 1319-1328. https:/doi.org/10.1109/IPDPSW.2016.187
Rajbhandari, S., Kim, J., Krishnamoorthy, S., Pouchet, L.-N., Rastello, F., Harrison, R.J., Sadayappan, P. (2016). On fusing recursive traversals of K-d trees. Proceedings of CC 2016: The 25th International Conference on Compiler Construction, 152-162. https:/doi.org/10.1145/2892208.2892228
Vishnu, A., Dam, H.V., Tallent, N.R., Kerbyson, D.J., Hoisie, A. (2016). Fault Modeling of Extreme Scale Applications Using Machine Learning. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, 222-231. https:/doi.org/10.1109/IPDPS.2016.111
Ortiz, C.M., Paulsen, V.I. (2016). Quantum graph homomorphisms via operator systems. Linear Algebra and Its Applications, 497, 23-43. https:/doi.org/10.1016/j.laa.2016.02.019
Friese, R.D. (2016). Efficient genetic algorithm encoding for large-scale multi-objective resource allocation. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, 1360-1369. https:/doi.org/10.1109/IPDPSW.2016.36
Rajbhandari, S., Kim, J., Krishnamoorthy, S., Pouchet, L.-N., Rastello, F., Harrison, R.J., Sadayappan, P. (2016). A Domain-Specific Compiler for a Parallel Multiresolution Adaptive Numerical Simulation Environment. International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 0, 468-479. https:/doi.org/10.1109/SC.2016.39
Elsethagen, T., Stephan, E., Raju, B., Schram, M., MacDuff, M., Kerbyson, D., Van Dam, K.K., Singh, A., Altintas, I. (2016). Data provenance hybridization supporting extreme-scale scientific workflow applications. 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings. https:/doi.org/10.1109/NYSDS.2016.7747819
Moore, J.S., Xantheas, S.S., Grate, J.W., Wietsma, T.W., Gratton, E., Vasdekis, A.E. (2016). Modular polymer biosensors by solvent immersion imprint lithography. Journal of Polymer Science, Part B: Polymer Physics, 54 (1),98-103. https:/doi.org/10.1002/polb.23961
Cheng, G., Barker, E.I., Stephens, E.V., Choi, K.S., Sun, X. (2016). Quantifying Grain Level Stress-Strain Behavior for AM40 via Instrumented Microindentation. MRS Advances, 1 (12),761-772. https:/doi.org/10.1557/adv.2016.25
Jin, S., Chen, Y., Diao, R., Huang, Z.H., Perkins, W., Palmer, B. (2016). Power grid simulation applications developed using the GridPACK™ high performance computing framework. Electric Power Systems Research, 141, 22-30. https:/doi.org/10.1016/j.epsr.2016.06.024
Rauf, U., Gillani, F., Al-Shaer, E., Halappanavar, M., Chatterjee, S., Oehmen, C. (2016). Formal approach for resilient reachability based on end-system route agility. MTD 2016 - Proceedings of the 2016 ACM Workshop on Moving Target Defense, co-located with CCS 2016, 117-127. https:/doi.org/10.1145/2995272.2995275
Purohit, S., Smith, W., Chappell, A., West, P., Lee, B., Stephan, E., Fox, P. (2016). Effective Tooling for Linked Data Publishing in Scientific Research. Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016 ,24-31. https:/doi.org/10.1109/ICSC.2016.87
Xu, Z., Tipireddy, R., Lin, G. (2016). Analytical approximation and numerical studies of one-dimensional elliptic equation with random coefficients. Applied Mathematical Modelling, 40 (9-10),5542-5559. https:/doi.org/10.1016/j.apm.2015.12.041
Castellana, V.G., Minutoli, M., Morari, A., Tumeo, A., Lattuada, M., Ferrandi, F. (2016). High level synthesis of RDF queries for graph analytics. 2015 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2015, 323-330. https:/doi.org/10.1109/ICCAD.2015.7372587
Landwehr, J., Suetterlein, J., Márquez, A., Manzano, J., Gao, G.R. (2016). Application characterization at scale: Lessons learned from developing a distributed open community runtime system for high performance computing. 2016 ACM International Conference on Computing Frontiers - Proceedings, 164-171. https:/doi.org/10.1145/2903150.2903166
Chavarría-Miranda, D., Castellana, V.G., Morari, A., Haglin, D., Feo, J. (2016). GraQL: A query language for high-performance attributed graph databases. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, 1453-1462. https:/doi.org/10.1109/IPDPSW.2016.216
Iwata, S., Akase, D., Aida, M., Xantheas, S.S. (2016). Electronic origin of the dependence of hydrogen bond strengths on nearest-neighbor and next-nearest-neighbor hydrogen bonds in polyhedral water clusters (H2O): N, n = 8, 20 and 24. Physical Chemistry Chemical Physics, 18 (29),19746-19756. https:/doi.org/10.1039/c6cp02487d
Smith, D.P., Nicora, C.D., Carini, P., Lipton, M.S., Norbeck, A.D., Smith, R.D., Giovannoni, S.J. (2016). Proteome remodeling in response to sulfur limitation in "Candidatus pelagibacter ubique". mSystems, 1 (4). https:/doi.org/10.1128/mSystems.00068-16
Miliordos, E., Aprà, E., Xantheas, S.S. (2016). A New, Dispersion-Driven Intermolecular Arrangement for the Benzene-Water Octamer Complex: Isomers and Analysis of their Vibrational Spectra. Journal of Chemical Theory and Computation, 12 (8),4004-4014. https:/doi.org/10.1021/acs.jctc.6b00668
Bhuiyan, T.H., Nandi, A.K., Medal, H., Halappanavar, M. (2016). Minimizing expected maximum risk from cyber-Attacks with probabilistic attack success. 2016 IEEE Symposium on Technologies for Homeland Security, HST 2016. https:/doi.org/10.1109/THS.2016.7568892
Halappanavar, M., Sathanur, A.V., Nandi, A.K. (2016). Accelerating the mining of influential nodes in complex networks through community detection. 2016 ACM International Conference on Computing Frontiers - Proceedings, 64-71. https:/doi.org/10.1145/2903150.2903181
Barajas-Solano, D.A., Tartakovsky, A.M. (2016). Probabilistic density function method for nonlinear dynamical systems driven by colored noise. Physical Review E, 93 (5). https:/doi.org/10.1103/PhysRevE.93.052121
Agarwal, D.A., Faybishenko, B., Freedman, V.L., Krishnan, H., Kushner, G., Lansing, C., Porter, E., Romosan, A., Shoshani, A., Wainwright, H., Weidmer, A., Wu, K. (2016). A science data gateway for environmental management. Concurrency Computation , 28 (7),1994-2004. https:/doi.org/10.1002/cpe.3697
Bao, W., Krishnamoorthy, S., Pouchet, L.-N., Rastello, F., Sadayappan, P. (2016). PolyCheck: Dynamic verification of iteration space transformations on affine programs. Conference Record of the Annual ACM Symposium on Principles of Programming Languages, 20-22, 539-554. https:/doi.org/10.1145/2837614.2837656
Markidis, S., Peng, I.B., Iakymchuk, R., Laure, E., Kestor, G., Gioiosa, R. (2016). A performance characterization of streaming computing on supercomputers. Procedia Computer Science, 80 ,98-107. https:/doi.org/10.1016/j.procs.2016.05.301
Lindquist, B.A., Takeshita, T.Y., Dunning, T.H. (2016). Insights into the Electronic Structure of Ozone and Sulfur Dioxide from Generalized Valence Bond Theory: Addition of Hydrogen Atoms. Journal of Physical Chemistry A, 120 (17),2720-2726. https:/doi.org/10.1021/acs.jpca.6b02014
Naim, M., Manne, F., Halappanavar, M., Tumeo, A., Langguth, J. (2016). Optimizing Approximate Weighted Matching on NVIDIA Kepler K40. Proceedings - 22nd IEEE International Conference on High Performance Computing, HiPC 2015, 105-114. https:/doi.org/10.1109/HiPC.2015.15
Barajas-Solano, D.A., Tartakovsky, A.M. (2016). Hybrid multiscale finite volume method for advection-diffusion equations subject to heterogeneous reactive boundary conditions. Multiscale Modeling and Simulation, 14 (4),1341-1376. https:/doi.org/10.1137/15M1022537
Suetterlein, J., Landwehr, J., Márquez, A., Manzano, J.B., Gao, G.R. (2016). Asynchronous runtimes in action: An introspective framework for a next gen runtime. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, 1744-1751. https:/doi.org/10.1109/IPDPSW.2016.191
Li, J., Stinis, P. (2016). A unified framework for mesh refinement in random and physical space. Journal of Computational Physics, 323, 243-264. https:/doi.org/10.1016/j.jcp.2016.07.027
Khan, A., Pothen, A., Patwary, M.M.A., Halappanavar, M., Satish, N.R., Sundaram, N., Dubey, P. (2016). Designing Scalable b-MATCHING Algorithms on Distributed Memory Multiprocessors by Approximation. International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 0 ,773-783. https:/doi.org/10.1109/SC.2016.65
Minutoli, M., Castellana, V.G., Tumeo, A., Lattuada, M., Ferrandi, F. (2016). Enabling the high level synthesis of data analytics accelerators. 2016 International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2016. https:/doi.org/10.1145/2968456.2976764
Singh, A., Stephan, E., Elsethagen, T., Macduff, M., Raju, B., Schram, M., Van Dam, K.K., Kerbyson, D.J., Altintas, I. (2016). Leveraging large sensor streams for robust cloud control. Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016, 2115-2120. https:/doi.org/10.1109/BigData.2016.7840839
Xantheas, S.S. (2016). Spying on the neighbors' pool. Science, 354 (6316). https:/doi.org/10.1126/science.aal1413
Tallent, N.R., Barker, K.J., Chavarría-Miranda, D., Tumeo, A., Halappanavar, M., Márquez, A., Kerbyson, D.J., Hoisie, A. (2016). Modeling the impact of silicon photonics on graph analytics. 2016 IEEE International Conference on Networking Architecture and Storage, NAS 2016 - Proceedings. https:/doi.org/10.1109/NAS.2016.7549410
Kalyanaraman, A., Halappanavar, M., Chavarría-Miranda, D., Lu, H., Duraisamy, K., Pande, P.P. (2016). Fast uncovering of graph communities on a chip: Toward scalable community detection on multicore and manycore platforms. Foundations and Trends in Electronic Design Automation, 10 (3),145-247. https:/doi.org/10.1561/1000000044
Gioiosa, R., Warfel, T., Yin, J., Tumeo, A., Haglin, D. (2016). Exploring data vortex network architectures. Proceedings - 2016 IEEE 24th Annual Symposium on High-Performance Interconnects, HOTI 2016, 84-91. https:/doi.org/10.1109/HOTI.2016.025
Chen, Y., Fitzhenry, E., Jin, S., Palmer, B., Sharma, P., Huang, Z. (2016). An integrated software package to enable predictive simulation capabilities. 19th Power Systems Computation Conference, PSCC 2016. https:/doi.org/10.1109/PSCC.2016.7540951
Lei, H., Baker, N.A., Wu, L., Schenter, G.K., Mundy, C.J., Tartakovsky, A.M. (2016). Smoothed dissipative particle dynamics model for mesoscopic multiphase flows in the presence of thermal fluctuations. Physical Review E, 94 (2). https:/doi.org/10.1103/PhysRevE.94.023304
Choi, K.S., Barker, E., Cheng, G., Sun, X., Forsmark, J., Li, M. (2016). Predicting Stress vs. Strain Behaviors of Thin-Walled High Pressure Die Cast Magnesium Alloy with Actual Pore Distribution. SAE International Journal of Materials and Manufacturing, 9 (2),361-367. https:/doi.org/10.4271/2016-01-0290
Stephan, E.G., Elsethagen, T.O., Berg, L.K., Macduff, M.C., Paulson, P.R., Shaw, W.J., Sivaraman, C., Smith, W.P., Wynne, A. (2016). Semantic catalog of things, services, and data to support a wind data management facility. Information Systems Frontiers, 18 (4),679-691. https:/doi.org/10.1007/s10796-015-9546-5
Lim, K.-S.S., Riihimaki, L., Comstock, J.M., Schmid, B., Sivaraman, C., Shi, Y., McFarquhar, G.M. (2016). Evaluation of long-term surface-retrieved cloud droplet number concentration with in situ aircraft observations. Journal of Geophysical Research, 121 (5),2318-2331. https:/doi.org/10.1002/2015JD024082
Bruillard, P., Nowak, K., Purvine, E. (2016). Anomaly Detection Using Persistent Homology. Proceedings - 2016 Cybersecurity Symposium, CYBERSEC 2016, 7-12. https:/doi.org/10.1109/CYBERSEC.2016.009
Ma, W., Bhaskaran-Nair, K., Villa, O., Aprà, E., Tumeo, A., Krishnamoorthy, S., Kowalski, K. (2016). Perturbative Coupled-Cluster Methods on Graphics Processing Units: Single- and Multi-Reference Formulations. Electronic Structure Calculations on Graphics Processing Units: From Quantum Chemistry to Condensed Matter Physics, 301-326. https:/doi.org/10.1002/9781118670712.ch14
Minutoli, M., Castellana, V.G., Tumeo, A., Lattuada, M., Ferrandi, F. (2016). Efficient synthesis of graph methods: A dynamically scheduled architecture. IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD, 07-10-. https:/doi.org/10.1145/2966986.2967030
Suetterlein, J.D., Landwehr, J., Marquez, A., Manzano, J., Gao, G.R. (2016). Extending the roofline model for asynchronous many-task runtimes. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 493-496. https:/doi.org/10.1109/CLUSTER.2016.47
Tardiff, M.F., Bonheyo, G.T., Cort, K.A., Edgar, T.W., Hess, N.J., Hutton, W.J., Miller, E.A., Nowak, K.E., Oehmen, C.S., Purvine, E.A.H., Schenter, G.K., Paul, D. (2016). Applying the scientific method to cybersecurity research. 2016 IEEE Symposium on Technologies for Homeland Security, HST 2016. https:/doi.org/10.1109/THS.2016.7568886
Engel, D.W., Reichardt, T.A., Kulp, T.J., Graff, D.L., Thompson, S.E. (2016). Hierarchical multi-scale approach to validation and uncertainty quantification of hyper-spectral image modeling. Proceedings of SPIE - The International Society for Optical Engineering, 9840. https:/doi.org/10.1117/12.2224262
Palmer, B., Perkins, W., Chen, Y., Jin, S., Callahan, D., Glass, K., Diao, R., Rice, M., Elbert, S., Vallem, M., Huang, Z. (2016). GridPACKTM: A framework for developing power grid simulations on high-performance computing platforms. International Journal of High Performance Computing Applications, 30 (2),223-240. https:/doi.org/10.1177/1094342015607609
Cicotti, P., Oral, S., Kestor, G., Gioiosa, R., Strande, S., Taufer, M., Rogers, J.H., Abbasi, H., Hill, J., Carringtonc, L. (2016). Data movement in data-intensive high performance computing. Conquering Big Data with High Performance Computing, 31-58. https:/doi.org/10.1007/978-3-319-33742-5_3
Tallent, N.R., Barker, K.J., Gioiosa, R., Márquez, A., Kestor, G., Song, L., Tumeo, A., Kerbyson, D.J., Hoisie, A. (2016). Assessing Advanced Technology in CENATE. 2016 IEEE International Conference on Networking Architecture and Storage, NAS 2016 - Proceedings. https:/doi.org/10.1109/NAS.2016.7549392
Bandara, U.C., Palmer, B.J., Tartakovsky, A.M. (2016). Effect of wettability alteration on long-term behavior of fluids in subsurface. Computational Particle Mechanics, 3 (2),277-289. https:/doi.org/10.1007/s40571-015-0098-8
Raju, B., Elsethagen, T., Stephan, E., Van Dam, K.K. (2016). A scientific data provenance API for distributed applications. Proceedings - 2016 International Conference on Collaboration Technologies and Systems, CTS 2016, 104-111. https:/doi.org/10.1109/CTS.2016.34
Makarov, Y.V., Meng, D., Vyakaranam, B., Diao, R., Palmer, B., Huang, Z. (2016). Direct methods to estimate the most limiting voltage level and thermal violations in coordinates of power transfers on critical transmission paths. Proceedings of the Annual Hawaii International Conference on System Sciences, 2016- ,2466-2471. https:/doi.org/10.1109/HICSS.2016.308
Devarakonda, R., Dumas, K., Beus, S., Rush, E., Krishna, B., Records, R., Prakash, G. (2016). Next-gen tools for big scientific data: ARM data center example. Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016, 3968-3970. https:/doi.org/10.1109/BigData.2016.7841078
Daily, J., Kalyanaraman, A., Krishnamoorthy, S., Ren, B. (2016). On the Impact of Widening Vector Registers on Sequence Alignment. Proceedings of the International Conference on Parallel Processing, 2016, 506-515. https:/doi.org/10.1109/ICPP.2016.65
Chatterjee, S., Tipireddy, R., Oster, M., Halappanavar, M. (2016). Propagating mixed uncertainties in cyber attacker payoffs: Exploration of two-phase Monte Carlo sampling and probability bounds analysis. 2016 IEEE Symposium on Technologies for Homeland Security, HST 2016. https:/doi.org/10.1109/THS.2016.7568967
Castellana, V.G., Tumeo, A., Ferrandi, F. (2016). High-level synthesis of memory bound and irregular parallel applications with Bambu. 2014 IEEE Hot Chips 26 Symposium, HCS 2014. https:/doi.org/10.1109/HOTCHIPS.2014.7478841
Chang, T.-M., Xantheas, S.S., Vasdekis, A.E. (2016). Mesoscale Polymer Dissolution Probed by Raman Spectroscopy and Molecular Simulations. Journal of Physical Chemistry B, 120 (40),10581-10587. https:/doi.org/10.1021/acs.jpcb.6b05565
Barker, K.J., Kerbyson, D.J. (2016). Modeling the performance and energy impact of dynamic power steering. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, 1380-1389. https:/doi.org/10.1109/IPDPSW.2016.209
Tallent, N.R., Manzano, J.B., Gawande, N.A., Kang, S., Kerbyson, D.J., Hoisie, A., Cross, J.K. (2016). Algorithm and Architecture Independent Benchmarking with SEAK. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, 63-72. https:/doi.org/10.1109/IPDPS.2016.25
Bao, W., Krishnamoorthy, S., Pouchet, L.-N., Rastello, F., Sadayappan, P. (2016). PolyCheck: Dynamic verification of iteration space transformations on affine programs. ACM SIGPLAN Notices, 51 (1),539-554. https:/doi.org/10.1145/2837614.2837656
Chelmis, C., Choudhury, S., Pal, A., Panangadan, A., Tong, W., Xia, Y. (2016). The 5th international workshop on parallel and distributed computing for large scale machine learning and big data analytics (ParLearning 2016). Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016, 1390-1391. https:/doi.org/10.1109/IPDPSW.2016.246
Thomas, M., Laskin, J., Raju, B., Stephan, E., Elsethagen, T., Van, N., Nguyen, S. (2016). Enabling re-executable workflows with near-realtime visualization, provenance capture and advanced querying for mass spectrometry data. 2016 New York Scientific Data Summit, NYSDS 2016 - Proceedings. https:/doi.org/10.1109/NYSDS.2016.7747806
Engel, D.W., Reichardt, T.A., Kulp, T.J., Sommers, R.L., Krafcik, K.L. (2016). Validation and uncertainty quantification of hyperspectral image modeling. Advances in Nuclear Nonproliferation Technology and Policy Conference: Bridging the Gaps in Nuclear Nonproliferation, ANTPC 2016. https:/doi.org/-
Bulgac, A., Jin, S., Magierski, P., Roche, K.J., Stetcu, I. (2016). Microscopic theory of nuclear fission. Proceedings of Science, 2016-. https:/doi.org/-
Kurt, M.C., Krishnamoorthy, S., Agrawal, G., Ren, B. (2016). User-assisted store recycling for dynamic task graph schedulers. ACM Transactions on Architecture and Code Optimization, 13 (4). https:/doi.org/10.1145/3018111
Li, Y., Hu, S., Chen, L.-Q. (2016). Nanomechanics of ferroelectric thin films and heterostructures. Springer Series in Materials Science, 245, 469-488. https:/doi.org/10.1007/978-3-319-33480-6_15
Arafat, H., Dinan, J., Krishnamoorthy, S., Balaji, P., Sadayappan, P. (2016). Work stealing for GPU-accelerated parallel programs in a global address space framework. Concurrency Computation , 28 (13),3637-3654. https:/doi.org/10.1002/cpe.3747
Barker, K.J., Carothers, C.D., Van Hensbergen, E. (2016). Workshop on large-scale parallel processing - LSPP 2016. Proceedings - 2016 IEEE 30th International Parallel and Distributed Processing Symposium, IPDPS 2016. https:/doi.org/10.1109/IPDPSW.2016.244
Ceriani, M., Secchi, S., Tumeo, A., Villa, O., Palermo, G. (2016). Exploring manycore multinode systems for irregular applications with FPGA prototyping. 2013 IEEE Hot Chips 25 Symposium, HCS 2013. https:/doi.org/10.1109/HOTCHIPS.2013.7478329
Saha, S., Vullikanti, A.K.S., Halappanavar, M., Chatterjee, S. (2016). Identifying vulnerabilities and hardening attack graphs for networked systems. 2016 IEEE Symposium on Technologies for Homeland Security, HST 2016. https:/doi.org/10.1109/THS.2016.7568884
Sathanur, A.V., Halappanavar, M. (2016). Influence maximization on complex networks with intrinsic nodal activation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10047, 133-141. https:/doi.org/10.1007/978-3-319-47874-6_10
Kassianov, E., Flynn, C., Barnard, J., Ermold, B., Berg, L. (2016). New Shortwave Array Spectroradiometer-Hemispheric (SAS-He): Hyperspectral design and initial applications. Proceedings of SPIE - The International Society for Optical Engineering, 10001. https:/doi.org/10.1117/12.2241203
Kurt, M.C., Ren, B., Krishnamoorthy, S., Agrawal, G. (2016). User-assisted storage Reuse determination for dynamic task graphs. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, 12-16-. https:/doi.org/10.1145/2851141.2851180
Minutoli, M., Castellana, V.G., Tumeo, A., Ferrandi, F., Lattuada, M. (2016). A Dynamically Scheduled Architecture for the Synthesis of Graph Database Queries. Proceedings - 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016. https:/doi.org/10.1109/FCCM.2016.41
Li, Y., Sun, X. (2016). Mesoscale Phase Field Modeling of Glass Strengthening Under Triaxial Compression. International Journal of Applied Glass Science, 7 (3),384-393. https:/doi.org/10.1111/ijag.12173
Palermo, G., Feo, J., Tumeo, A., Franke, H. (2016). Preface. 2016 ACM International Conference on Computing Frontiers - Proceedings. https:/doi.org/-
Purohit, S., Paulson, P., Rodriguez, L. (2016). User-Centric Approach for Benchmark RDF Data Generator in Big Data Performance Analysis. Proceedings - 2016 IEEE 10th International Conference on Semantic Computing, ICSC 2016 ,179-180. https:/doi.org/10.1109/ICSC.2016.88
2015
Feldman, D.R., Collins, W.D., Gero, P.J., Torn, M.S., Mlawer, E.J., Shippert, T.R. (2015). Observational determination of surface radiative forcing by CO2 from 2000 to 2010. Nature, 519 (7543),339-343. https:/doi.org/10.1038/nature14240
Fournier, J.A., Wolke, C.T., Johnson, M.A., Odbadrakh, T.T., Jordan, K.D., Kathmann, S.M., Xantheas, S.S. (2015). Snapshots of Proton Accommodation at a Microscopic Water Surface: Understanding the Vibrational Spectral Signatures of the Charge Defect in Cryogenically Cooled H+(H2O)n=2-28 Clusters. Journal of Physical Chemistry A, 119 (36),9425-9440. https:/doi.org/10.1021/acs.jpca.5b04355
Lu, H., Halappanavar, M., Kalyanaraman, A. (2015). Parallel heuristics for scalable community detection. Parallel Computing, 47, 19-37. https:/doi.org/10.1016/j.parco.2015.03.003
Setyawan, W., Nandipati, G., Roche, K.J., Heinisch, H.L., Wirth, B.D., Kurtz, R.J. (2015). Displacement cascades and defects annealing in tungsten, Part I: Defect database from molecular dynamics simulations. Journal of Nuclear Materials, 462, 329-337. https:/doi.org/10.1016/j.jnucmat.2014.12.056
Kronenbitter, B., Heck, M., Goldenzweig, P., Kuhr, T., Abdesselam, A., Adachi, I., Aihara, H., Al Said, S., et al. (2015). Measurement of the branching fraction of B+ →τ+ντ decays with the semileptonic tagging method. Physical Review D - Particles, Fields, Gravitation and Cosmology, 92 (5). https:/doi.org/10.1103/PhysRevD.92.051102
Lanekoff, I., Burnum-Johnson, K., Thomas, M., Cha, J., Dey, S.K., Yang, P., Prieto Conaway, M.C., Laskin, J. (2015). Three-dimensional imaging of lipids and metabolites in tissues by nanospray desorption electrospray ionization mass spectrometry. Analytical and bioanalytical chemistry, 407 (8),2063-2071. https:/doi.org/10.1007/s00216-014-8174-0
Scheibe, T.D., Murphy, E.M., Chen, X., Rice, A.K., Carroll, K.C., Palmer, B.J., Tartakovsky, A.M., Battiato, I., Wood, B.D. (2015). An Analysis Platform for Multiscale Hydrogeologic Modeling with Emphasis on Hybrid Multiscale Methods. Groundwater, 53 (1),38-56. https:/doi.org/10.1111/gwat.12179
Ashraf, R.A., Gioiosa, R., Kestor, G., Demara, R.F., Cher, C.-Y., Bose, P. (2015). Understanding the propagation of transient errors in HPC applications. International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 15-20-. https:/doi.org/10.1145/2807591.2807670
Parworth, C., Fast, J., Mei, F., Shippert, T., Sivaraman, C., Tilp, A., Watson, T., Zhang, Q. (2015). Long-term measurements of submicrometer aerosol chemistry at the Southern Great Plains (SGP) using an Aerosol Chemical Speciation Monitor (ACSM). Atmospheric Environment, 106, 43-55. https:/doi.org/10.1016/j.atmosenv.2015.01.060
Tang, Y.-H., Kudo, S., Bian, X., Li, Z., Karniadakis, G.E. (2015). Multiscale Universal Interface: A concurrent framework for coupling heterogeneous solvers. Journal of Computational Physics, 297, 13-31. https:/doi.org/10.1016/j.jcp.2015.05.004
Miliordos, E., Xantheas, S.S. (2015). An accurate and efficient computational protocol for obtaining the complete basis set limits of the binding energies of water clusters at the MP2 and CCSD(T) levels of theory: Application to (H2O)m, m = 2-6, 8, 11, 16, and 17. Journal of Chemical Physics, 142 (23). https:/doi.org/10.1063/1.4922262
Stetcu, I., Bertulani, C.A., Bulgac, A., Magierski, P., Roche, K.J. (2015). Relativistic coulomb excitation within the time dependent superfluid local density approximation. Physical Review Letters, 114 (1). https:/doi.org/10.1103/PhysRevLett.114.012701
Choudhury, S., Holder, L., Chin, G., Agarwal, K., Feo, J. (2015). A selectivity based approach to continuous pattern detection in streaming graphs. EDBT 2015 - 18th International Conference on Extending Database Technology, Proceedings, 157-168. https:/doi.org/10.5441/002/edbt.2015.15
Li, Z., Yazdani, A., Tartakovsky, A., Karniadakis, G.E. (2015). Transport dissipative particle dynamics model for mesoscopic advection-diffusion-reaction problems. Journal of Chemical Physics, 143 (1). https:/doi.org/10.1063/1.4923254
Miliordos, E., Xantheas, S.S. (2015). On the validity of the basis set superposition error and complete basis set limit extrapolations for the binding energy of the formic acid dimer. Journal of Chemical Physics, 142 (9). https:/doi.org/10.1063/1.4913766
Shupe, M.D., Turner, D.D., Zwink, A., Thieman, M.M., Mlawer, E.J., Shippert, T. (2015). Deriving arctic cloud microphysics at Barrow, Alaska: Algorithms, results, and radiative closure. Journal of Applied Meteorology and Climatology, 54 (7),1675-1689. https:/doi.org/10.1175/JAMC-D-15-0054.1
Nandipati, G., Setyawan, W., Heinisch, H.L., Roche, K.J., Kurtz, R.J., Wirth, B.D. (2015). Displacement cascades and defect annealing in tungsten, Part II: Object kinetic Monte Carlo simulation of tungsten cascade aging. Journal of Nuclear Materials, 462, 338-344. https:/doi.org/10.1016/j.jnucmat.2014.09.067
You, Y., Fu, H., Song, S.L., Randles, A., Kerbyson, D., Marquez, A., Yang, G., Hoisie, A. (2015). Scaling Support Vector Machines on modern HPC platforms. Journal of Parallel and Distributed Computing, 76, 16-31. https:/doi.org/10.1016/j.jpdc.2014.09.005
Imoto, S., Xantheas, S.S., Saito, S. (2015). Ultrafast Dynamics of Liquid Water: Energy Relaxation and Transfer Processes of the OH Stretch and the HOH Bend. Journal of Physical Chemistry B, 119 (34),11068-11078. https:/doi.org/10.1021/acs.jpcb.5b02589
Venkatesh, A., Vishnu, A., Hamidouche, K., Tallent, N., Panda, D., Kerbyson, D., Hoisie, A. (2015). A case for application-oblivious energy-efficient MPI runtime. International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 15-20-. https:/doi.org/10.1145/2807591.2807658
Wlazłowski, G., Bulgac, A., Forbes, M.M., Roche, K.J. (2015). Life cycle of superfluid vortices and quantum turbulence in the unitary Fermi gas. Physical Review A - Atomic, Molecular, and Optical Physics, 91 (3). https:/doi.org/10.1103/PhysRevA.91.031602
Ren, B., Jo, Y., Krishnamoorthy, S., Agrawal, K., Kulkarni, M. (2015). Efficient execution of recursive programs on commodity vector hardware. Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 2015, 509-520. https:/doi.org/10.1145/2737924.2738004
Choi, K.S., Zhu, Z., Sun, X., De Moor, E., Taylor, M.D., Speer, J.G., Matlock, D.K. (2015). Determination of carbon distributions in quenched and partitioned microstructures using nanoscale secondary ion mass spectroscopy. Scripta Materialia, 104 ,79-82. https:/doi.org/10.1016/j.scriptamat.2015.03.027
Castellana, V.G., Morari, A., Weaver, J., Tumeo, A., Haglin, D., Villa, O., Feo, J. (2015). In-Memory Graph Databases for Web-Scale Data. Computer, 48 (3),24-35. https:/doi.org/10.1109/MC.2015.74
Nandipati, G., Setyawan, W., Heinisch, H.L., Roche, K.J., Kurtz, R.J., Wirth, B.D. (2015). Displacement cascades and defect annealing in tungsten, Part III: The sensitivity of cascade annealing in tungsten to the values of kinetic parameters. Journal of Nuclear Materials, 462, 345-353. https:/doi.org/10.1016/j.jnucmat.2015.01.059
Lu, H., Halappanavar, M., Chavarria-Miranda, D., Gebremedhin, A., Kalyanaraman, A. (2015). Balanced Coloring for Parallel Computing Applications. Proceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium, IPDPS 2015, 7-16. https:/doi.org/10.1109/IPDPS.2015.113
Hovanski, Y., Upadhyay, P., Carsley, J., Luzanski, T., Carlson, B., Eisenmenger, M., Soulami, A., Marshall, D., Landino, B., Hartfield-Wunsch, S. (2015). High-speed friction-stir welding to enable aluminum tailor-welded blanks. JOM, 67 (5),1045-1053. https:/doi.org/10.1007/s11837-015-1384-x
Miliordos, E., Xantheas, S.S. (2015). Ground and excited states of the [Fe(H2O)6]2+ and [Fe(H2O)6]3+ clusters: Insight into the electronic structure of the [Fe(H2O)6]2+-[Fe(H2O)6]3+ complex. Journal of Chemical Theory and Computation, 11 (4),1549-1563. https:/doi.org/10.1021/ct501143c
Du, Q., Lehoucq, R.B., Tartakovsky, A.M. (2015). Integral approximations to classical diffusion and smoothed particle hydrodynamics. Computer Methods in Applied Mechanics and Engineering, 286, 216-229. https:/doi.org/10.1016/j.cma.2014.12.019
Wu, P., Ma, X., Li, Y., Eom, C.-B., Schlom, D.G., Gopalan, V., Chen, L.-Q. (2015). Influence of interfacial coherency on ferroelectric switching of superlattice BaTiO3/SrTiO3. Applied Physics Letters, 107 (12). https:/doi.org/10.1063/1.4931129
Li, Y., Xu, K., Hu, S., Suter, J., Schreiber, D.K., Ramuhalli, P., Johnson, B.R., McCloy, J. (2015). Computational and experimental investigations of magnetic domain structures in patterned magnetic thin films. Journal of Physics D: Applied Physics, 48 (30). https:/doi.org/10.1088/0022-3727/48/30/305001
Ciraci, S., Daily, J., Agarwal, K., Fuller, J., Marinovici, L., Fisher, A. (2015). Synchronization algorithms for co-simulation of power grid and communication networks. Proceedings - IEEE Computer Society's Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, MASCOTS, 2015- (February),355-364. https:/doi.org/10.1109/MASCOTS.2014.51
Wong, P.C., Haglin, D., Gillen, D., Chavarria, D., Castellana, V., Joslyn, C., Chappell, A., Zhang, S. (2015). A visual analytics paradigm enabling trillion-edge graph exploration. IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings, 57-64. https:/doi.org/10.1109/LDAV.2015.7348072
Daily, J., Kalyanaraman, A., Krishnamoorthy, S., Vishnu, A. (2015). A work stealing based approach for enabling scalable optimal sequence homology detection. Journal of Parallel and Distributed Computing, 79-80, 132-142. https:/doi.org/10.1016/j.jpdc.2014.08.009
Scheibe, T.D., Schuchardt, K., Agarwal, K., Chase, J., Yang, X., Palmer, B.J., Tartakovsky, A.M., Elsethagen, T., Redden, G. (2015). Hybrid multiscale simulation of a mixing-controlled reaction. Advances in Water Resources, 83, 228-239. https:/doi.org/10.1016/j.advwatres.2015.06.006
Brorsen, K.R., Willow, S.Y., Xantheas, S.S., Gordon, M.S. (2015). The Melting Temperature of Liquid Water with the Effective Fragment Potential. Journal of Physical Chemistry Letters, 6 (18),3555-3559. https:/doi.org/10.1021/acs.jpclett.5b01702
Shrestha, S., Gao, G.R., Manzano, J., Marquez, A., Feo, J. (2015). Locality aware concurrent start for stencil applications. Proceedings of the 2015 IEEE/ACM International Symposium on Code Generation and Optimization, CGO 2015, 157-166. https:/doi.org/10.1109/CGO.2015.7054196
Barker, K.J., Kerbyson, D.J., Anger, E. (2015). On the feasibility of dynamic power steering. Proceedings of E2SC 2014: 2nd International Workshop on Energy Efficient Supercomputing - Held in Conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis ,60-69. https:/doi.org/10.1109/E2SC.2014.6
Choudhury, S., Rodriguez, L., Curtis, D., Oler, K., Nordquist, P., Chen, P.-Y., Ray, I. (2015). Action recommendation for cyber resilience. SafeConfig 2015 - Proceedings of the 2015 Workshop on Automated Decision Making for Active Cyber Defense, 3-8. https:/doi.org/10.1145/2809826.2809837
Wang, P., Barajas-Solano, D.A., Constantinescu, E., Abhyankar, S., Ghosh, D., Smith, B.F., Huang, Z., Tartakovsky, A.M. (2015). Probabilistic density function method for stochastic odes of power systems with uncertain power input. SIAM-ASA Journal on Uncertainty Quantification, 3 (1),873-896. https:/doi.org/10.1137/130940050
Zounmevo, J.A., Perarnau, S., Iskra, K., Yoshii, K., Gioiosa, R., Van Essen, B.C., Gokhale, M.B., Leon, E.A. (2015). A container-based approach to OS specialization for exascale computing. Proceedings - 2015 IEEE International Conference on Cloud Engineering, IC2E 2015, 359-364. https:/doi.org/10.1109/IC2E.2015.78
Getov, V., Kerbyson, D.J., MacduffC, M., Hoisie, A. (2015). Towards an application-specific thermal energy model of current processors. Proceedings of E2SC 2015: 3rd International Workshop on Energy Efficient Supercomputing - Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Storage and Analysis. https:/doi.org/10.1145/2834800.2834805
Xu, L.T., Dunning, T.H. (2015). Generalized Valence Bond Description of the Ground States (X1Σg+) of Homonuclear Pnictogen Diatomic Molecules: N2, P2, and As2. Journal of Chemical Theory and Computation, 11 (6),2496-2507. https:/doi.org/10.1021/acs.jctc.5b00104
Tumeo, A., Feo, J. (2015). Irregular Applications: From Architectures to Algorithms [Guest editors' introduction]. Computer, 48 (8),14-16. https:/doi.org/10.1109/MC.2015.233
Ren, B., Jo, Y., Krishnamoorthy, S., Agrawal, K., Kulkarni, M. (2015). Efficient execution of recursive programs on commodity vector hardware. ACM SIGPLAN Notices, 50 (6),509-520. https:/doi.org/10.1145/2737924.2738004
Ream, T.S., Haag, J.R., Pontvianne, F., Nicora, C.D., Norbeck, A.D., Paša-Tolić, L., Pikaard, C.S. (2015). Subunit compositions of Arabidopsis RNA polymerases I and III reveal Pol I- and Pol III-specific forms of the AC40 subunit and alternative forms of the C53 subunit. Nucleic Acids Research, 43 (8),4163-4178. https:/doi.org/10.1093/nar/gkv247
Halappanavar, M., Pothen, A., Azad, A., Manne, F., Langguth, J., Khan, A. (2015). Codesign lessons learned from implementing graph matching on multithreaded architectures. Computer, 48 (8),46-55. https:/doi.org/10.1109/MC.2015.215
Tallent, N.R., Vishnu, A., Van Dam, H., Daily, J., Kerbyson, D.J., Hoisie, A. (2015). Diagnosing the causes and severity of one-sided message contention. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP, 2015, 130-139. https:/doi.org/10.1145/2688500.2688516
Scott, M.J., Daly, D.S., Hathaway, J.E., Lansing, C.S., Liu, Y., McJeon, H.C., Moss, R.H., Patel, P.L., Peterson, M.J., Rice, J.S., Zhou, Y. (2015). Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model. Energy, 90, 1682-1694. https:/doi.org/10.1016/j.energy.2015.06.127
Kestor, G., Gioiosa, R., Chavarrla-Miranda, D. (2015). Prometheus: Scalable and accurate emulation of task-based applications on many-core systems. ISPASS 2015 - IEEE International Symposium on Performance Analysis of Systems and Software, 308-317. https:/doi.org/10.1109/ISPASS.2015.7095816
Thomas, M., Kleese-van Dam, K., Marshall, M.J., Kuprat, A., Carson, J., Lansing, C., Guillen, Z., Miller, E., Lanekoff, I., Laskin, J. (2015). Towards Adaptive, Streaming Analysis of X-ray Tomography Data. Synchrotron Radiation News, 28 (2),10-14. https:/doi.org/10.1080/08940886.2015.1013414
Li, Y., Xu, B., Hu, S., Li, Y., Li, Q., Liu, W. (2015). Simulation of magnetic hysteresis loops and magnetic Barkhausen noise of α-iron containing nonmagnetic particles. AIP Advances, 5 (7). https:/doi.org/10.1063/1.4927548
Shrestha, S., Manzano, J., Marquez, A., Feo, J., Gao, G.R. (2015). Jagged tiling for intra-tile parallelism and fine-grain multithreading. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8967, 161-175. https:/doi.org/10.1007/978-3-319-17473-0_11
Vishnu, A., Agarwal, K. (2015). Large scale frequent pattern mining using MPI one-sided model. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2015- ,138-147. https:/doi.org/10.1109/CLUSTER.2015.30
Werhahn, J.C., Miliordos, E., Xantheas, S.S. (2015). A new variation of the Buckingham exponential-6 potential with a tunable, singularity-free short-range repulsion and an adjustable long-range attraction. Chemical Physics Letters, 619, 133-138. https:/doi.org/10.1016/j.cplett.2014.11.051
Chatterjee, S., Halappanavar, M., Tipireddy, R., Oster, M., Saha, S. (2015). Quantifying mixed uncertainties in cyber attacker payoffs. 2015 IEEE International Symposium on Technologies for Homeland Security, HST 2015. https:/doi.org/10.1109/THS.2015.7225287
Miyake, H., Grzymkowski, R., Ludacka, R., Schram, M. (2015). Belle II production system. Journal of Physics: Conference Series, 664 (5). https:/doi.org/10.1088/1742-6596/664/5/052028
Gioiosa, R., Wisniewski, R.W., Murty, R., Inglett, T. (2015). Analyzing system calls in multi-OS hierarchical environments. Proceedings of the 5th International Workshop on Runtime and Operating Systems for Supercomputers, ROSS 2015 - In conjunction with HPDC 2015. https:/doi.org/10.1145/2768405.2768411
Gawande, N.A., Manzano, J.B., Tumeo, A., Tallent, N.R., Kerbyson, D.J., Hoisie, A. (2015). Power and performance trade-offs for Space Time Adaptive Processing. Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors, 2015, 41-48. https:/doi.org/10.1109/ASAP.2015.7245703
Chavarría-Miranda, D., Panyala, A., Halappanavar, M., Manzano, J.B., Tumeo, A. (2015). Optimizing irregular applications for energy and performance on the tilera many-core architecture. Proceedings of the 12th ACM International Conference on Computing Frontiers, CF 2015. https:/doi.org/10.1145/2742854.2742865
Akhmetova, D., Kestor, G., Gioiosa, R., Markidis, S., Laure, E. (2015). On the application task granularity and the interplay with the scheduling overhead in many-core shared memory systems. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2015- ,428-437. https:/doi.org/10.1109/CLUSTER.2015.65
Chavarría-Miranda, D., Panyala, A., Ma, W., Prantl, A., Krishnamoorthy, S. (2015). Global transformations for legacy parallel applications via structural analysis and rewriting. Parallel Computing, 43, 1-26. https:/doi.org/10.1016/j.parco.2015.01.001
Morari, A., Castellana, V.G., Villa, O., Weaver, J., Williams, G., Haglin, D., Tumeo, A., Feo, J. (2015). Gems: Graph database engine for multithreaded systems. Big Data: Algorithms, Analytics, and Applications, 139-156. https:/doi.org/-
Minutoli, M., Castellana, V.G., Tumeo, A., Ferrandi, F. (2015). Inter-procedural resource sharing in High Level Synthesis through function proxies. 25th International Conference on Field Programmable Logic and Applications, FPL 2015. https:/doi.org/10.1109/FPL.2015.7293958
Kestor, G., Unsal, O.S., Cristal, A., Tasiran, S. (2015). Trade: Precise dynamic race detection for scalable transactional memory systems. ACM Transactions on Parallel Computing, 2 (2). https:/doi.org/10.1145/2786021
Suter, J.D., Ramuhalli, P., McCloy, J.S., Xu, K., Hu, S., Li, Y., Jiang, W., Edwards, D.J., Schemer-Kohrn, A.L., Johnson, B.R. (2015). Meso-scale magnetic signatures for nuclear reactor steel irradiation embrittlement monitoring. AIP Conference Proceedings, 1650, 1476-1485. https:/doi.org/10.1063/1.4914765
Freedman, V., Lansing, C., Porter, E., Schuchardt, K., Guillen, Z., Sivaramakrishnan, C., Gorton, I. (2015). A collaborative extensible user environment for simulation and knowledge management. 2015 International Conference on Collaboration Technologies and Systems, CTS 2015, 280-286. https:/doi.org/10.1109/CTS.2015.7210435
Aga, S., Krishnamoorthy, S., Narayanasamy, S. (2015). CilkSpec: Optimistic concurrency for Cilk. International Conference for High Performance Computing, Networking, Storage and Analysis, SC, 15-20-. https:/doi.org/10.1145/2807591.2807597
Rodriguez, L., Curtis, D., Choudhury, S., Oler, K., Nordquist, P., Chen, P.-Y., Ray, I. (2015). DEMO: Action recommendation for cyber resilience. Proceedings of the ACM Conference on Computer and Communications Security, 2015, 1620-1622. https:/doi.org/10.1145/2810103.2810104
Asner, D.M., Burns, K., Campbell, L.W., Greenfield, B., Kos, M.S., Orrell, J.L., Schram, M., Vandevender, B., Wood, L.S., Wootan, D.W. (2015). Method of fission product beta spectra measurements for predicting reactor anti-neutrino emission. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 776, 75-82. https:/doi.org/10.1016/j.nima.2014.09.076
Chappell, A., Weaver, J., Purohit, S., Smith, W., Schuchardt, K., West, P., Lee, B., Fox, P. (2015). Enhancing the impact of science data toward data discovery and reuse. 2015 IEEE/ACIS 14th International Conference on Computer and Information Science, ICIS 2015 - Proceedings, 271-277. https:/doi.org/10.1109/ICIS.2015.7166605
Chen, Y., Etingov, P., Fitzhenry, E., Sharma, P., Nguyen, T., Makarov, Y., Rice, M., Allwardt, C., Widergren, S. (2015). A Framework to Support the Fusion of Operation and Planning. IFAC-PapersOnLine, 48 (30),427-432. https:/doi.org/10.1016/j.ifacol.2015.12.416
Li, Y., Xu, B., Hu, S.-Y., Li, Y.-L., Li, Q.-L., Liu, W. (2015). Magnetization Reversal Process of Single Crystal-Fe Containing a Nonmagnetic Particle. Chinese Physics Letters, 32 (6). https:/doi.org/10.1088/0256-307X/32/6/067502
Tumeo, A., Feo, J., Villa, O., Secchi, S., Mattson, T.G. (2015). Special issue on architectures and algorithms for irregular applications (AAIA) - Guest editors' introduction. Journal of Parallel and Distributed Computing, 76, 1-2. https:/doi.org/10.1016/j.jpdc.2014.12.001
Gioiosa, R., Kerbyson, D.J., Hoisie, A. (2015). Evaluating performance and power efficiency of scientific applications on multi-threaded systems. Proceedings of E2SC 2014: 2nd International Workshop on Energy Efficient Supercomputing - Held in Conjunction with SC 2014: The International Conference for High Performance Computing, Networking, Storage and Analysis, 11-20. https:/doi.org/10.1109/E2SC.2014.15
Castellana, V.G., Weaver, J., Morari, A., Tumeo, A., Haglin, D., Feo, J., Villa, O. (2015). Scaling RDF Triple Stores in Size and Performance. Modeling SPARQL Queries as Graph Homomorphism Routines. Handbook of Statistics, 33, 339-362. https:/doi.org/10.1016/B978-0-444-63492-4.00014-9
Wood, L., Daily, J., Henry, M., Palmer, B., Schuchardt, K., Dazlich, D., Heikes, R., Randall, D. (2015). A global climate model agent for high spatial and temporal resolution data. International Journal of High Performance Computing Applications, 29 (1),107-116. https:/doi.org/10.1177/1094342013518808
Krishnamoorthy, S., Hilbrich, T., Kerbyson, D.J., Rajamony, R., Weems, C. (2015). HIPS-LSPP Introduction and Committees. Proceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2015, 202-203. https:/doi.org/10.1109/IPDPSW.2015.158
Stephan, E.G., Chappell, A., Sivaraman, C., Purohit, S., Smith, W., Loscio, B.F. (2015). Deep web scientific sensor measurements usage: A standards-based approach. 2015 International Conference on Collaboration Technologies and Systems, CTS 2015, 1-2. https:/doi.org/10.1109/CTS.2015.7210386
Bhowmick, S., Chen, T.-Y., Halappanavar, M. (2015). A new augmentation based algorithm for extracting maximal chordal subgraphs. Journal of Parallel and Distributed Computing, 76, 132-144. https:/doi.org/10.1016/j.jpdc.2014.10.006
Minutoli, M., Castellana, V.G., Tumeo, A., Ferrandi, F. (2015). Function proxies for improved resource sharing in high level synthesis. Proceedings - 2015 IEEE 23rd Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2015. https:/doi.org/10.1109/FCCM.2015.60
Arafat, H., Krishnamoorthy, S., Sadayappan, P. (2015). Checksumming Strategies for Data in Volatile Memories. Proceedings of the International Conference on Parallel Processing Workshops, 2015, 245-254. https:/doi.org/10.1109/ICPPW.2014.41
Chavarría-Miranda, D., Halappanavar, M., Krishnamoorthy, S., Manzano, J., Vishnu, A., Hoisie, A. (2015). On the Impact of Execution Models: A Case Study in Computational Chemistry. Proceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2015, 255-264. https:/doi.org/10.1109/IPDPSW.2015.111
Choudhury, S., Pal, A., Panangadan, A., Xia, Y. (2015). ParLearning Introduction and Committees. Proceedings - 2015 IEEE 29th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2015, 1152-1153. https:/doi.org/10.1109/IPDPSW.2015.170
Morari, A., Weaver, J., Villa, O., Haglin, D., Tumeo, A., Castellana, V.G., Feo, J. (2015). High-performance, distributed dictionary encoding of RDF datasets. Proceedings - IEEE International Conference on Cluster Computing, ICCC, 2015- ,250-253. https:/doi.org/10.1109/CLUSTER.2015.44
Shrestha, S., Manzano, J.B., Marquez, A., Zuckerman, S., Song, S.L., Gao, G.R. (2015). Gregarious data re-structuring in a many core architecture. Proceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015, 712-720. https:/doi.org/10.1109/HPCC-CSS-ICESS.2015.291
Tumeo, A., Villa, J.F.O. (2015). Foreword. Proceedings of the 5th Workshop on Irregular Applications: Architectures and Algorithms, IA3 2015. https:/doi.org/-
Ebata, T., Kusaka, R., Xantheas, S.S. (2015). Laser spectroscopic and theoretical studies of the structures and encapsulation motifs of functional molecules. AIP Conference Proceedings, 1642, 51-59. https:/doi.org/10.1063/1.4906630