Publications

McCrary, T., & Devine, K. (2021). Integrating PGAS and MPI-Based Graph Analysis [Presentation]. https://www.osti.gov/biblio/1881669

Bussmann, E., Butera, R.E., Owen, J.H.G., Randall, J.N., Rinaldi, S.M., Baczewski, A.D., & Misra, S. (2021). Atomic-precision advanced manufacturing for Si quantum computing. MRS Bulletin, 46(7), pp. 607-615. https://doi.org/10.1557/s43577-021-00139-8

Marts, W.P., Dosanjh, M.G., Schonbein, W.W., Levy, S.L.N., Grant, R., & Bridges, P. (2021). MiniMod: A Modular Miniapplication Benchmarking Framework for HPC [Conference Paper]. 10.1109/Cluster48925.2021.00028

Loe, J.A., Glusa, C., Yamazaki, I., Boman, E.G., & Rajamanickam, S. (2021). Properties of GMRES with Iterative Refinement on GPUs [Conference Presentation]. 10.2172/1884157

Dipietro, K.L., Ridzal, D., & Lindsay, A. (2021). Efficient finite element methods for solving the Monge-Ampere equation [Conference Presentation]. 10.2172/1888672

Michael, M., Geraci, G., Eldred, M., & Portone, T. (2021). Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis [Conference Presentation]. 10.2172/1882333

Zeng, X., Geraci, G., Eldred, M., Jakeman, J.D., Gorodetsky, A., & Ghanem, R. (2021). Adaptive Basis for Multifidelity Uncertainty Quantification [Conference Presentation]. 10.2172/1889016

Tarman, T.D., Swiler, L.P., Cruz, G.J., Vugrin, E., Rollins, T., Huang, H., Sahu, A., Wlazlo, P., Goulart, A., & Davis, K. (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds [Conference Proceeding]. 10.1145/3474718.3474725

Mayer, C.D. (2021). Use My Data, But Don't Make Me Share It: Hybrid Secure MultiParty Computation for Privacy-Preserving Machine Learning [Presentation]. https://www.osti.gov/biblio/1882290

Roberts, N.V., & Miller, S. (2021). Machine Learning for Accelerating Direct-Simulation Monte-Carlo Collision Operators [Conference Presentation]. 10.2172/1884411

Maniaci, D.C., Naughton, J., Geraci, G., & King, R. (2021). Verification, Validation & Uncertainty Quantification [Presentation]. https://www.osti.gov/biblio/1883505

Hughes, C. (2021). HPC Architectures Beyond Exascale [Presentation]. https://www.osti.gov/biblio/1876710

Nichol, J., Peterson, M.G., & Peterson, K.J. (2021). Learning Why: Data-Driven Causal Evaluations of Climate Models [Conference Poster]. https://doi.org/10.2172/1884401

Laird, C., Nicholson, B.L., & Rodriguez, J.S. (2021). Parallel strategies for DAE optimization with direct Schur-complement decomposition [Conference Poster]. https://www.osti.gov/biblio/1883541

Parker, R., & Nicholson, B.L. (2021). A reduced space simultaneous approach for optimization of nonlinear index-1 differential algebraic equations [Presentation]. https://www.osti.gov/biblio/1884135

Nikolov, S.V., Peterson, K.J., Bolintineanu, D.S., & Clemmer, J.T. (2021). Probing Sea Ice Mechanics with a Lagrangian Discrete Element Model for Sea Ice [Conference Presentation]. 10.2172/1889078

Portone, T., Foulk, J.W., Dandekar, R., & Rackauckas, C. (2021). Learning Missing Mechanisms in a Dynamical System from a Subset of State Variable Observations [Conference Presentation]. 10.2172/1889367

Miller, N., & Hughes, C. (2021). Comparing Intel Compilers Poster [Presentation]. https://www.osti.gov/biblio/1882504

Ait Ettajer, A. (2021). Verification Testing for Multiphysics Codes [Conference Presentation]. https://doi.org/10.2172/1878722

Crockatt, M.M., Shadid, J.N., Conde, S., Pawlowski, R., & Mabuza, S. (2021). Development of an Algorithmic Framework for the Simulation of Partially-Ionized Multifluid Plasma Systems with Arbitrarily Many Species [Conference Presentation]. 10.2172/1884180

Littlewood, D.J., Seleson, P., Pasetto, M., John, Y., & Trageser, J. (2021). Convergence Studies for Meshfree Peridynamic Simulations of Dynamic Crack Growth [Conference Presentation]. 10.2172/1884164

Roberts, N.V., & Perego, M. (2021). Exploiting Tensor-Product Structure in High-Order Finite Elements on Next-Generation Architectures [Conference Presentation]. 10.2172/1882065

McQuarrie, S.A., & van Bloemen Waanders, B. (2021). Goal-oriented data-driven reduced-order modeling guided by hyper-differential sensitivity analysis [Presentation]. https://www.osti.gov/biblio/1884436

Moore, N. (2021). Learning Algebraic Multigrid Prolongation with Residual Graph Neural Networks [Presentation]. https://www.osti.gov/biblio/1877980

Lennon, K., & Rajamanickam, S. (2021). Learning Transferable DFT Neural Network Surrogates [Presentation]. https://www.osti.gov/biblio/1884431