Shukla, K., Xu, M., Trask, N.A., Karniadakis, G.E., & Karniadakis, G.E. (2022). Scalable algorithms for physics-informed neural and graph networks. Data-Centric Engineering, 3(6). 10.1017/dce.2022.24
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Schultz, P.A., Hjalmarson, H.P., & Hjalmarson, H.P. (2022). Theory of the metastable injection-bleached
Guo, Z., Song, J.K., Barbastathis, G., Vaughan, C.T., Larson, K.W., Alpert, B.K., Levine, Z.H., Glinsky, M.E., & Glinsky, M.E. (2022). Physics-assisted generative adversarial network for X-ray tomography. Optics Express, 30(13), pp. 23238-23259. https://doi.org/10.1364/oe.460208
Edwards, A.H., Schultz, P.A., Dobzynski, R.M., & Dobzynski, R.M. (2022). Electronic structure of intrinsic defects in c-gallium nitride: Density functional theory study without the jellium approximation. Physical Review. B, 105(23). 10.1103/physrevb.105.235110
Rezaul Karim, M., Narasimhachary, S., Radaelli, F., Amann, C., Dayal, K., Silling, S., Germann, T.C., & Germann, T.C. (2022). Crack nucleation at forging flaws studied by non-local peridynamics simulations. Mathematics and Mechanics of Solids, 27(6), pp. 1129-1149. https://doi.org/10.1177/10812865211057211
Schonbein, W.W., Barrett, B.W., Brightwell, R.B., Grant, R.E., Hemmert, K.S., Foulk, J.W., Underwood, K., Riesen, R., Hoefler, T., Barbe, M., Suraty Filho, L.H., Ratchov, A., MacCabe, A.B., & MacCabe, A.B. (2022). The Portals 4.3 Network Programming Interface. 10.2172/1875218
Blume-Kohout, R., da Silva, M.P., Nielsen, E., Proctor, T.J., Rudinger, K.M., Sarovar, M., Young, K., & Young, K. (2022). A Taxonomy of Small Markovian Errors. PRX Quantum, 3(2). https://doi.org/10.1103/prxquantum.3.020335
Clark, S.M., Norris, H., Landahl, A.J., Yale, C.G., Lobser, D., van der Wall, J.W., Revelle, M.C., & Revelle, M.C. (2022). QSCOUT Progress Report, June 2022 [Quantum Scientific Computing Open User Testbed]. 10.2172/1873977
Tomas, I., Shadid, J.N., Maier, M., Salgado, A., & Salgado, A. (2022). Asymptotic preserving methods for fluid electron-fluid models in the large magnetic field limit with mathematically guaranteed properties (Final Report). 10.2172/1872178
Munoz-Matute, J., Demkowicz, L., Roberts, N.V., & Roberts, N.V. (2022). Combining DPG in space with DPG time-marching scheme for the transient advection-reaction equation. 10.2172/1869510
Ruzic, B.P., Barrick, T.A., Hunker, J.D., Law, R., McFarland, B., McGuinness, H.J.E., Parazzoli, L.P., Sterk, J.D., van der Wall, J.W., Stick, D., & Stick, D. (2022). Entangling-gate error from coherently displaced motional modes of trapped ions. Physical Review A, 105(5). 10.1103/physreva.105.052409
Voronin, A., He, Y., MacLachlan, S., Olson, L.N., Tuminaro, R.S., & Tuminaro, R.S. (2022). Low-order preconditioning of the Stokes equations. Numerical Linear Algebra with Applications, 29(3). 10.1002/nla.2426
Xiao, T.P., Bennett, C., Feinberg, B., Marinella, M., Agarwal, S., & Agarwal, S. (2022). CrossSim Inference Manual v2.0. 10.2172/1869509
Jakeman, J.D., Kouri, D.P., Huerta, J.G., & Huerta, J.G. (2022). Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk. Reliability Engineering and System Safety, 221. 10.1016/j.ress.2021.108280
Kouri, D.P., Surowiec, T.M., & Surowiec, T.M. (2022). A primal–dual algorithm for risk minimization. Mathematical Programming, 193(1), pp. 337-363. 10.1007/s10107-020-01608-9
Myers, J.M., Dunlavy, D.M., & Dunlavy, D.M. (2022). A Hybrid Method for Tensor Decompositions that Leverages Stochastic and Deterministic Optimization. 10.2172/1865529
Naugle, A.B., Russell, A., Lakkaraju, K., Swiler, L.P., Verzi, S.J., Romero, V.J., & Romero, V.J. (2022). The Ground Truth Program: Simulations as Test Beds for Social Science Research Methods.. Computational and Mathematical Organization Theory, 29(1). 10.1007/s10588-021-09346-9
Hardesty, S., Antil, H., Kouri, D.P., Ridzal, D., & Ridzal, D. (2022). The strip method for shape derivatives [Conference Presentation]. International Journal for Numerical Methods in Engineering. 10.2172/1876615
Moon, G.E., Kwon, H., Jeong, G., Chatarasi, P., Rajamanickam, S., Krishna, T., & Krishna, T. (2022). Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Transactions on Parallel and Distributed Systems, 33(4), pp. 1002-1014. 10.1109/TPDS.2021.3104240
Cook, J., Aaziz, O.R., Chen, S., Godoy, W., Powell, A.J., Watson, G., Vaughan, C.T., Wildani, A., & Wildani, A. (2022). Quantitative Performance Assessment of Proxy Apps and Parents (Report for ECP Proxy App Project Milestone ADCD-504-28). 10.2172/1868419
Silling, S. (2022). Self-Induced Curvature in an Internally Loaded Peridynamic Fiber. 10.2172/1868144
Xiao, T.P., Feinberg, B., Bennett, C., Agrawal, V., Saxena, P., Prabhakar, V., Ramkumar, K., Medu, H., Raghavan, V., Chettuvetty, R., Agarwal, S., Marinella, M., & Marinella, M. (2022). An Accurate, Error-Tolerant, and Energy-Efficient Neural Network Inference Engine Based on SONOS Analog Memory. IEEE Transactions on Circuits and Systems I: Regular Papers, 69(4), pp. 1480-1493. 10.1109/tcsi.2021.3134313
Moore, S.G. (2022). Large-Scale Atomistic Simulations: Investigating Free Expansion. 10.2172/1856462
Stewart, J.A., Wood, M.A., Olles, J.D., & Olles, J.D. (2022). Elucidating size effects on the yield strength of single-crystal Cu via the Richtmyer-Meshkov instability. Journal of Applied Physics, 131(11). 10.1063/5.0082495
McMullen, R.M., Krygier, M., Torczynski, J.R., Gallis, M.A., & Gallis, M.A. (2022). Navier-Stokes Equations Do Not Describe the Smallest Scales of Turbulence in Gases. Physical Review Letters, 128(11). https://doi.org/10.1103/physrevlett.128.114501
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