Publications

Portone, T., Swiler, L.P., Geraci, G., Eldred, M., & Eldred, M. (2021). Application of Multifidelity Uncertainty Quantification Methods to a Subsurface Transport Model [Conference Presenation]. https://doi.org/10.2172/1847219

You, H., Yu, Y., Trask, N.A., Gulian, M., D'Elia, M., & D'Elia, M. (2021). Data-driven learning of nonlocal physics from high-fidelity synthetic data. Computer Methods in Applied Mechanics and Engineering, 374. https://doi.org/10.1016/j.cma.2020.113553

D'Elia, M., Bochev, P., & Bochev, P. (2021). Formulation, analysis and computation of an optimization-based local-to-nonlocal coupling method [Conference Poster]. Results in Applied Mathematics. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85093960841&origin=inward

Maupin, K.A., Portone, T., & Portone, T. (2021). Use of Model Discrepancy and Model Selection as a Means of Informing Missing Physics [Conference Presenation]. https://doi.org/10.2172/1848042

Gates, J.M., Collins, D., Braun, J.R., & Braun, J.R. (2021). CI Tools as Lego Blocks: Build Your Ideal Custom Solution [Conference Presenation]. https://doi.org/10.2172/1847483

McGregor, D.A.O., Phillips, E., Sirajuddin, D., Pointon, T., & Pointon, T. (2021). Coupling 1D Telegrapher Equations to 3D Maxwell's Equations with Applications to Pulsed Power [Conference Presenation]. https://doi.org/10.2172/1847478

Bachman, W.B., Wildey, T., & Wildey, T. (2021). Solving stochastic inverse problems for property-structure linkage using data-consistent inversion and ML [Conference Poster]. https://doi.org/10.2172/1848050

Mitchell, J.A., Lofstead, G.F., Trageser, J., & Trageser, J. (2021). Stitching additive manufacturing SPPARKS microstructure simulations [Conference Presenation]. https://doi.org/10.2172/1844314

Krause, C.F., Steyer, A., & Steyer, A. (2021). Design and Implementation of ETD Methods for Nonhydrostatic Atmosphere Models [Conference Presenation]. https://doi.org/10.2172/1847574

Pang, G., Parks, M.L., D'Elia, M., Karniadakis, G., & Karniadakis, G. (2021). nPINNS: Nonlocal Physics-Informed Neural Networks [Conference Presenation]. https://doi.org/10.2172/1847466

Sockwell, K.C., Perego, M., & Perego, M. (2021). Implementing Calving Laws in Ice-Sheet Models using Level Set Methods [Conference Presenation]. https://doi.org/10.2172/1847579

Feinberg, B., Wong, R.M., Xiao, T.P., Rohan, J.N., Boman, E.G., Marinella, M., Agarwal, S., Ipek, E., & Ipek, E. (2021). An Analog Preconditioner for Solving Linear Systems [Conference Presenation]. Proceedings - International Symposium on High-Performance Computer Architecture. https://doi.org/10.2172/1847491

Silling, S.A. (2021). Combined Eulerian and Lagrangian approaches in peridynamic material modeling [Conference Poster]. https://www.osti.gov/biblio/1847577

Hart, J.L. (2021). Hyper-Differential Sensitivity Analysis for Robust Machine Learned Surrogate Models [Conference Presenation]. https://doi.org/10.2172/1847611

Albrecht, D., Jacobson, N.T., & Jacobson, N.T. (2021). Non-Gaussian noise characterization with factorial hidden Markov models [Conference Presenation]. https://doi.org/10.2172/1844304

Phipps, E.T., Johnson, N., Kolda, T.G., & Kolda, T.G. (2021). Generalized Canonical Polyadic Tensor Decompositions for Streaming Data [Conference Presenation]. https://doi.org/10.2172/1847210

Rajamanickam, S., Krishna, T., Hammond, S., & Hammond, S. (2021). Vision for Co-designing a Unified-Memory Centric Heterogeneous Node Architecture [Conference Paper]. https://www.osti.gov/biblio/1847621

Hu, J.J. (2021). Performance Portability in Sandia Mission Applications and Kokkos Ecosystem Updates [Conference Presenation]. https://doi.org/10.2172/1847567

di Matteo, O., Gamble, J., Granade, C., Rudinger, K.M., Wiebe, N., & Wiebe, N. (2021). Operational Quantum Tomography [Conference Presenation]. https://doi.org/10.2172/1847460

Ibanez-Granados, D.A. (2021). Revolutionizing Design and Surveillance with LGR [Conference Presenation]. https://doi.org/10.2172/1847475

Menhorn, F., Geraci, G., Seidl, D.T., Eldred, M., King, R., Bungartz, H., Marzouk, Y., & Marzouk, Y. (2021). Multifidelity Monte Carlo Estimators for Robust Formulations in Optimization under Uncertainty [Conference Presenation]. https://doi.org/10.2172/1847580

Alwadi, M., Kommareddy, V.R., Hughes, C., Hammond, S., Awad, A., & Awad, A. (2021). Stealth-Persist: Architectural Support for Persistent Applications in Hybrid Memory Systems [Conference Paper]. Proceedings - International Symposium on High-Performance Computer Architecture. https://doi.org/10.1109/HPCA51647.2021.00022

Cooper, M., Clemmer, J.T., Silling, S.A., Bufford, D.C., Bolintineanu, D.S., & Bolintineanu, D.S. (2021). Mesostructure Evolution During Powder Compression: Micro-CT Experiments and Particle-Based Simulations [Conference Paper]. https://doi.org/10.1007/978-3-030-86745-4_2

Cyr, E.C., Gulian, M., Patel, R., Perego, M., Trask, N.A., & Trask, N.A. (2021). An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs [Conference Presenation]. https://doi.org/10.2172/1847582

Poliakoff, D. (2021). Kokkos Tools [Presentation]. https://www.osti.gov/biblio/1847568

Kommareddy, V.R., Hughes, C., Hammond, S., Awad, A., & Awad, A. (2021). DeACT: Architecture-Aware Virtual Memory Support for Fabric Attached Memory Systems [Conference Paper]. Proceedings - International Symposium on High-Performance Computer Architecture. https://doi.org/10.1109/HPCA51647.2021.00046

Anwar, A. (2021). Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks [Conference Poster]. https://doi.org/10.2172/1844046

Vineyard, C.M., Dellana, R., Aimone, J.B., Severa, W., & Severa, W. (2021). Low-Power Deep Learning Inference using the SpiNNaker Neuromorphic Platform. https://doi.org/10.2172/1761866

Campbell, Q.T., Ivie, J.A., Bussmann, E., Schmucker, S.W., Baczewski, A.D., Misra, S., & Misra, S. (2021). A Model for Atomic Precision p-Type Doping with Diborane on Si(100)-2×1. Journal of Physical Chemistry C, 125(1), pp. 481-488. https://doi.org/10.1021/acs.jpcc.0c08919

Hughes, C., Hammond, S., Zhang, M., Liu, Y., Rogers, T., Hoekstra, R.J., & Hoekstra, R.J. (2021). SST-GPU: A Scalable SST GPU Component for Performance Modeling and Profiling. https://doi.org/10.2172/1762830

Aksar, B., Zhang, Y., Ates, E., Schwaller, B., Aaziz, O., Leung, V.J., Brandt, J.M., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). Proctor: A Semi-Supervised Performance Anomaly Diagnosis Framework for Production HPC Systems [Conference Proceeding]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-030-78713-4_11

Zhang, Y., Aksar, B., Aaziz, O., Schwaller, B., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation [Conference Presenation]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. https://doi.org/10.2172/1888952

Bachman, W.B. (2021). Scalable³-BO: Big data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers [Conference Presenation]. Proceedings of the ASME Design Engineering Technical Conference. https://doi.org/10.2172/1875390

Bachman, W.B. (2021). Scalable3-BO: Big data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers [Conference Paper]. Proceedings of the ASME Design Engineering Technical Conference. https://doi.org/10.1115/DETC2021-70828

Wolf, M., Logan, J., Mehta, K., Jacobson, D., Cashman, M., Walker, A.M., Eisenhauer, G., Widener, P., Cliff, A., & Cliff, A. (2021). Reusability First: Toward FAIR Workflows [Conference Paper]. Proceedings - IEEE International Conference on Cluster Computing, ICCC. https://doi.org/10.1109/Cluster48925.2021.00053

Patel, R., Trask, N.A., Gulian, M., Cyr, E.C., & Cyr, E.C. (2021). A block coordinate descent optimizer for classification problems exploiting convexity. CEUR Workshop Proceedings, 2964, pp. 1-12. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85116653183&origin=inward

Melzera, R., Severa, W., Plagge, M., Vineyard, C.M., & Vineyard, C.M. (2021). Exploring characteristics of neural network architecture computation for enabling SAR ATR [Conference Paper]. Proceedings of SPIE - The International Society for Optical Engineering. https://doi.org/10.1117/12.2588006

Anwar, A. (2021). Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks [Conference Poster]. https://doi.org/10.2172/1843325

Bachman, W.B., Wildey, T., & Wildey, T. (2021). Solving Inverse Problems for Process-Structure Linkages Using Asynchronous Parallel Bayesian Optimization [Conference Presenation]. Minerals, Metals and Materials Series. https://doi.org/10.2172/1854075

Leng, Y., Tian, X., Trask, N.A., Foster, J.T., & Foster, J.T. (2021). Asymptotically compatible reproducing kernel collocation and meshfree integration for nonlocal diffusion. SIAM Journal on Numerical Analysis, 59(1), pp. 88-118. https://doi.org/10.1137/19m1277801

Newsome, D., Waxman, R., Giles, S., Silling, S.A., & Silling, S.A. (2021). Multi-scale physics-based modeling of particle-impact erosion of CMCS [Conference Proceeding]. AIAA Scitech 2021 Forum. https://doi.org/10.2514/6.2021-1587

Dang, V., Kotulski, J.D., Rajamanickam, S., & Rajamanickam, S. (2021). ADELUS: A Performance-Portable Dense LU Solver for Distributed-Memory Hardware-Accelerated Systems [Conference Proceeding]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85105915010&origin=inward

Glusa, C., D'Elia, M., Antil, H., Weiss, C.J., van Bloemen Waanders, B.G., & van Bloemen Waanders, B.G. (2021). A fast solver for the fractional helmholtz equation. SIAM Journal on Scientific Computing, 43(2), pp. A1362-A1388. https://doi.org/10.1137/19M1302351

Davis, W.L., Olson, A.J., Popoola, G.A., Bolintineanu, D.S., Rodgers, T., Vu, E., & Vu, E. (2021). USING DEEP NEURAL NETWORKS TO PREDICT MATERIAL TYPES IN CONDITIONAL POINT SAMPLING APPLIED TO MARKOVIAN MIXTURE MODELS [Conference Presenation]. Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2021. https://doi.org/10.2172/1890864

Huang, A., Trask, N.A., Brissette, C., Hu, X., & Hu, X. (2021). Greedy fiedler spectral partitioning for data-driven discrete exterior calculus [Conference Presenation]. CEUR Workshop Proceedings. https://doi.org/10.2172/1859685

Frank, M.P. (2021). Reversible Computing as the Sustainable Path Forward for General Digital Computing [Conference Presenation]. https://doi.org/10.2172/1843324

Watson, J.P., Hart, W.E., Greenberg, H.J., Phillips, C.A., & Phillips, C.A. (2021). An Analysis of Multiple Contaminant Warning System Design Objectives for Sensor Placement Optimization in Water Distribution Networks. International Series in Operations Research and Management Science. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096518535&origin=inward

Zhang, Y., Aksar, B., Aaziz, O., Schwaller, B., Brandt, J.M., Leung, V.J., Egele, M., Coskun, A.K., & Coskun, A.K. (2021). Using Monitoring Data to Improve HPC Performance via Network-Data-Driven Allocation [Conference Proceeding]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. https://doi.org/10.1109/HPEC49654.2021.9622783

Lu, T., Gao, X., Anderson, E.M., Mendez Granado, J.P., de Campbell, A., Ivie, J.A., Schmucker, S.W., Grine, A., Lu, P., Tracy, L.A., Arghavani, R., Misra, S., & Misra, S. (2021). Path towards a vertical TFET enabled by atomic precision advanced manufacturing [Conference Presenation]. 2021 Silicon Nanoelectronics Workshop, SNW 2021. https://doi.org/10.2172/1872185

Silling, S.A. (2021). The Role of Nonlocality in Continuum Mechanics [Conference Presenation]. https://doi.org/10.2172/1841831

Diaz-Ibarra, O.H., Kim, K., Safta, C., Najm, H.N., & Najm, H.N. (2021). CSPlib - A Software Toolkit for the Analysis of Dynamical Systems and Chemical Kinetic Models. https://doi.org/10.2172/1810242

Swiler, L.P. (2021). Uncertainty Analysis of a Medical Resource Demand Model [Presentation]. https://www.osti.gov/biblio/1841815

Pang, G., D'Elia, M., Parks, M.L., Karniadakis, G., & Karniadakis, G. (2021). nPINNs: nonlocal Physics-Informed Neural Networks [Conference Presenation]. https://doi.org/10.2172/1841537

Milewicz, R.M., Pirkelbauer, P., Soundararajan, P., Ahmed, H., Skjellum, T., & Skjellum, T. (2021). Negative Perceptions About the Applicability of Source-to-Source Compilers in HPC: A Literature Review [Conference Paper]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85119838083&origin=inward

Mitchell, S.A. (2021). INCREMENTAL INTERVAL ASSIGNMENT BY INTEGER LINEAR ALGEBRA [Conference Paper]. Proceedings of the 29th International Meshing Roundtable, IMR 2021. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85180368913&origin=inward

Logan, L.M., Lofstead, G.F., Levy, S.L.N., Widener, P., Sun, X.H., Kougkas, A., & Kougkas, A. (2021). PMEMCPY: A simple, lightweight, and portable I/O library for storing data in persistent memory [Conference Paper]. Proceedings - IEEE International Conference on Cluster Computing, ICCC. https://doi.org/10.1109/Cluster48925.2021.00098

Plimpton, S.J., Knight, C., & Knight, C. (2021). Rendezvous algorithms for large-scale modeling and simulation. Journal of Parallel and Distributed Computing, 147, pp. 184-195. https://doi.org/10.1016/j.jpdc.2020.09.001

Geraci, G., Olson, A.J., & Olson, A.J. (2021). IMPACT OF SAMPLING STRATEGIES IN THE POLYNOMIAL CHAOS SURROGATE CONSTRUCTION FOR MONTE CARLO TRANSPORT APPLICATIONS [Conference Proceeding]. Proceedings of the International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering, M and C 2021. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85180636925&origin=inward

Lee, K., Carlberg, K.T., & Carlberg, K.T. (2021). Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws [Conference Poster]. 35th AAAI Conference on Artificial Intelligence, AAAI 2021. https://doi.org/10.2172/1848048

Chester, D.G., Groves, T., Hammond, S., Law, T., Wright, S.A., Smedley-Stevenson, R., Fahmy, S.A., Mudalidge, G.R., Jarvis, S.A., & Jarvis, S.A. (2021). StressBench: A Configurable Full System Network and I/O Benchmark Framework [Conference Paper]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. https://doi.org/10.1109/HPEC49654.2021.9774494

Eldred, M. (2021). Introduction of Michael S. Eldred [Presentation]. https://www.osti.gov/biblio/1843098

Rothganger, F., Naugle, A.B., Verzi, S.J., & Verzi, S.J. (2021). Behavioral Feedback in Disease Dynamics [Presentation]. https://www.osti.gov/biblio/1843095

Olivier, S.L., Ellingwood, N.D., Berry, J., Dunlavy, D.M., & Dunlavy, D.M. (2021). Performance Portability of an SpMV Kernel Across Scientific Computing and Data Science Applications [Conference Paper]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. https://doi.org/10.1109/HPEC49654.2021.9622869

Jeong, G., Kestor, G., Chatarasi, P., Parashar, A., Tsai, P.A., Rajamanickam, S., Gioiosa, R., Krishna, T., & Krishna, T. (2021). Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators [Conference Paper]. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT. https://doi.org/10.1109/PACT52795.2021.00010

Bachman, W.B., Wildey, T., & Wildey, T. (2021). Solving Stochastic Inverse Problems for Property–Structure Linkages Using Data-Consistent Inversion and Machine Learning. JOM, 73(1), pp. 72-89. https://doi.org/10.1007/s11837-020-04432-w

Bachman, W.B., Tran, H., & Tran, H. (2021). 2D Microstructure Reconstruction for SEM via Non-local Patch-Based Image Inpainting [Conference Paper]. Minerals, Metals and Materials Series. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85104380685&origin=inward

Jeong, G., Kestor, G., Chatarasi, P., Parashar, A., Tsai, P.A., Rajamanickam, S., Gioiosa, R., Krishna, T., & Krishna, T. (2021). Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators [Conference Presenation]. Parallel Architectures and Compilation Techniques - Conference Proceedings, PACT. https://doi.org/10.2172/1890906

Speed, A., Wheeler, J.W., Russell, J., Oppel, F., Sanchez, D.N., Silva, A.R., Chavez, A., & Chavez, A. (2021). CHARACTERIZING HUMAN PERFORMANCE: DETECTING TARGETS AT HIGH FALSE ALARM RATES [Conference Presenation]. Proceedings of the 2021 International Topical Meeting on Probabilistic Safety Assessment and Analysis, PSA 2021. https://doi.org/10.2172/1897019

D'Elia, M., Silling, S.A., You, H., Yu, Y., & Yu, Y. (2021). Data-driven learning of nonlocal models: From high-fidelity simulations to constitutive laws. CEUR Workshop Proceedings. https://doi.org/10.2172/1735693

Witzel, W., Craft, W., Carr, R., Madrid Larranaga, J., & Madrid Larranaga, J. (2021). Prove-It: A Proof Assistant for Organizing and Verifying General Mathematical Knowledge [Conference Paper]. https://www.osti.gov/biblio/1843318

Bachman, W.B., Brightwell, R.B., Younge, A.J., Lange, J., & Lange, J. (2021). HPC Operating SystemResearch Areas and Challenges [Presentation]. https://www.osti.gov/biblio/1843100

Kouri, D.P., Antil, H., Pfefferer, J., & Pfefferer, J. (2021). Risk-averse control of fractional diffusion with uncertain exponent. SIAM Journal on Control and Optimization, 59(2), pp. 1161-1187. https://doi.org/10.1137/20m1324958

Nielsen, E., Gamble, J.K., Rudinger, K.M., Scholten, T., Young, K.C., Blume-Kohout, R.J., & Blume-Kohout, R.J. (2021). Gate Set Tomography. Quantum, 5. https://doi.org/10.22331/q-2021-10-05-557

Phillips, C.A. (2021). SIAM Minisymposium on Supporting Workforce Preparation With Mathematical Modeling ? Panelist Introduction [Conference Presenation]. https://doi.org/10.2172/1840511

Voskuilen, G.R. (2021). Accelerated Architectures and the Structural Simulation Toolkit (SST) [Presentation]. https://www.osti.gov/biblio/1843548

Lewis, C., Phipps, E.T., & Phipps, E.T. (2021). Low-Communication Asynchronous Distributed Generalized Canonical Polyadic Tensor Decomposition [Conference Presenation]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. https://doi.org/10.2172/1890370

Glusa, C., D'Elia, M., & D'Elia, M. (2021). Nonlocal operators with variable coefficients [Conference Poster]. https://doi.org/10.2172/1854680

Heinlein, A., Perego, M., Rajamanickam, S., & Rajamanickam, S. (2021). FROSch Preconditioners for Land Ice Simulations of Greenland and Antarctica. https://doi.org/10.2172/1763446

Geraci, G., Crussell, J., Swiler, L.P., Debusschere, B.J., & Debusschere, B.J. (2021). Exploration of multifidelity UQ sampling strategies for computer network applications. International Journal for Uncertainty Quantification, 11(1), pp. 55-91. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2021033774

Stracuzzi, D.J. (2021). Preliminary Work on a Digital Twin for Cancer Patients [Conference Presenation]. https://doi.org/10.2172/1854684

Laird, C. (2021). Robust Estimation of COVID-19 Transmission Parameters [Presentation]. https://www.osti.gov/biblio/1843648

Glusa, C., Otarola, E., & Otarola, E. (2021). Error estimates for the optimal control of a parabolic fractional pde. SIAM Journal on Numerical Analysis, 59(2), pp. 1140-1165. https://doi.org/10.1137/19m1267581

You, H., Lu, X.Y., Trask, N.A., Yu, Y., & Yu, Y. (2021). An asymptotically compatible approach for Neumann-type boundary condition on nonlocal problems. ESAIM: Mathematical Modelling and Numerical Analysis, 55, pp. S811-S851. https://doi.org/10.1051/m2an/2020058

Patel, R. (2021). Control volume PINNs: a method for solving inverse problems with hyperbolic PDEs [Presentation]. https://www.osti.gov/biblio/1840510

Kilwein, Z., Boukouvala, F., Laird, C., Castillo, A., Blakely, L., Eydenberg, M.S., Jalving, J.H., Batsch-Smith, L., & Batsch-Smith, L. (2021). AC-Optimal Power Flow Solutions with Security Constraints from Deep Neural Network Models [Conference Paper]. Computer Aided Chemical Engineering. https://doi.org/10.1016/B978-0-323-88506-5.50142-X

Aimone, J.B., Hill, A., Severa, W., Vineyard, C.M., & Vineyard, C.M. (2021). Spiking Neural Streaming Binary Arithmetic [Conference Paper]. Proceedings - 2021 International Conference on Rebooting Computing, ICRC 2021. https://doi.org/10.1109/ICRC53822.2021.00021

Aguilar, M.J., Regier, P., Bachman, W.B., Curry, M.L., Ogden, J.B., Ward, H.L., & Ward, H.L. (2021). BeeGFS on Demand on StriaInitial Integration and Experiments [Conference Presenation]. https://doi.org/10.2172/1842657

Swiler, L.P., Newman, S., Staid, A., Barrett, E., & Barrett, E. (2021). Dakota-NAERM Integration. https://doi.org/10.2172/1762833

Kouri, D.P., Muthukumar, R., Udell, M., & Udell, M. (2021). Randomized sketching algorithms for low-memory dynamic optimization. SIAM Journal on Optimization, 31(2), pp. 1242-1275. https://doi.org/10.1137/19m1272561

Embree, M., Loe, J.A., Morgan, R., & Morgan, R. (2021). Polynomial preconditioned arnoldi with stability control. SIAM Journal on Scientific Computing, 43(1), pp. A1-A25. https://doi.org/10.1137/19m1302430

Doney, R.L., Niederhaus, J.H.J., Fuller, T.J., Coppinger, M.J., & Coppinger, M.J. (2021). Effects of EOS and constitutive models on simulating copper shaped charge jets in ALEGRA [Conference Poster]. 2019 15th Hypervelocity Impact Symposium, HVIS 2019. https://doi.org/10.1115/HVIS2019-010

Myers, J.M., Dunlavy, D.M., & Dunlavy, D.M. (2021). Using Computation Effectively for Scalable Poisson Tensor Factorization: Comparing Methods beyond Computational Efficiency [Conference Paper]. 2021 IEEE High Performance Extreme Computing Conference, HPEC 2021. https://doi.org/10.1109/HPEC49654.2021.9622795

Brightwell, R.B., Ferreira, K., Grant, R., Levy, S.L.N., Lofstead, G.F., Olivier, S.L., Bachman, W.B., Younge, A.J., Gentile, A.C., Bachman, W.B., & Bachman, W.B. (2021). ALAMO: Autonomous lightweight allocation, management, and optimization [Conference Poster]. Communications in Computer and Information Science. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85107303666&origin=inward

Laity, G., Robinson, A.C., Cuneo, M.E., Alam, K.M., Beckwith, K., Bennett, N.L., Bettencourt, M.T., Bond, S.D., Cochrane, K.R., Criscenti, L., Cyr, E.C., Bachman, W.B., Drake, R.R., Evstatiev, E.G., Fierro, A.S., Gardiner, T.A., Bachman, W.B., Goeke, R.S., Hamlin, N.D., … McBride, R. (2021). Towards Predictive Plasma Science and Engineering through Revolutionary Multi-Scale Algorithms and Models (Final Report). https://doi.org/10.2172/1813907

Littlewood, D.J., Jones, R.E., Bachman, W.B., Plews, J.A., Hetmaniuk, U., Lifflander, J., & Lifflander, J. (2021). HIERARCHICAL PARALLELISM FOR TRANSIENT SOLID MECHANICS SIMULATIONS [Conference Paper]. World Congress in Computational Mechanics and ECCOMAS Congress. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122127646&origin=inward

Swiler, L.P. (2021). Uncertainty and Sensitivity Analysis Overview [Presentation]. https://www.osti.gov/biblio/1840824

Kim, J., Lee, K., Lee, D., Jhin, S.Y., Park, N., & Park, N. (2021). DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation [Conference Paper]. 35th AAAI Conference on Artificial Intelligence, AAAI 2021. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85117814335&origin=inward

Newsome, D., Waxman, R., Hoffie, A., Silling, S.A., & Silling, S.A. (2021). Integrated fluid and materials modeling of environmental barrier coatings [Conference Proceeding]. AIAA Scitech 2021 Forum. https://doi.org/10.2514/6.2021-0404

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