Leonard, F., Fuller, E.J., Teeter, C.M., & Vineyard, C.M. (2022). Neuromorphic Information Processing by Optical Media. 10.2172/1887939
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Jump to search filtersFeinberg, B., Agarwal, S., Plagge, M., Rothganger, F., Cardwell, S.G., & Hughes, C. (2022). Modeling Analog Tile-Based Accelerators Using SST. 10.2172/1891950
Buczkowski, N.E., Foss, M.D., Parks, M.L., & Radu, P. (2022). Sensitivity Analysis for Solutions to Heterogeneous Nonlocal Systems. Theoretical and Numerical Studies. Journal of Peridynamics and Nonlocal Modeling, 4(3), pp. 367-397. 10.1007/s42102-022-00081-6
White, R.D., Alexanderian, A., Karbalaeisadegh, Y., Bekele-Maxwell, K., Banks, H.T., Talmant, M., Grimal, Q., & Muller, M. (2022). Using ultrasonic attenuation in cortical bone to infer distributions on pore size. Applied Mathematical Modelling, 109, pp. 819-832. 10.1016/j.apm.2022.05.024
Steyer, A.J. (2022). Computational Response Theory for Dynamics. 10.2172/1898244
Roberts, N.V., Bond, S.D., Miller, S.T., & Cyr, E.C. (2022). Fluid-Kinetic Coupling: Advanced Discretizations for Simulations on Emerging Heterogeneous Architectures (LDRD FY20-0643). 10.2172/1891588
Eldred, M., Adams, B.M., Geraci, G., Portone, T., Ridgway, E.M., Stephens, J.A., & Wildey, T. (2022). Deployment of Multifidelity Uncertainty Quantification for Thermal Battery Assessment Part I: Algorithms and Single Cell Results. 10.2172/1885882
Arguello, B., Stewart, N., Hoffman, M., Nicholson, B.L., Garrett, R.A., & Moog, E. (2022). Dynamics Informed Optimization for Resilient Energy Systems. 10.2172/1893998
Lehoucq, R., Mayer, C.D., & Tucker, J.D. (2022). Entropy and its Relationship with Statistics. 10.2172/1895025
Modine, N.A., Stephens, J.A., Swiler, L.P., Thompson, A.P., Vogel, D.J., Cangi, A., Feilder, L., & Rajamanickam, S. (2022). Accelerating Multiscale Materials Modeling with Machine Learning. 10.2172/1889336
Robinson, A.C., Swan, M.S., Harvey, E.C., Klein, B., Lawson, G., Milewicz, R.M., Foulk, J.W., Schmitz, M.E., & Warnock, S.A. (2022). An introduction to developing GitLab/Jacamar runner analyst centric workflows at Sandia. 10.2172/1885645
Eldred, C. (2022). Differential geometric approaches to momentum-based formulations for fluids [Slides]. 10.2172/1890065
Jakeman, J.D., Eldred, M., Geraci, G., Seidl, D.T., Smith, T.M., Gorodetsky, A.A., Pham, T., Narayan, A., Zeng, X., & Ghanem, R. (2022). Multi-fidelity information fusion and resource allocation. 10.2172/1888363
Swiler, L.P., Basurto, E., Brooks, D.M., Eckert, A., Leone, R.C., Mariner, P., Portone, T., & Foulk, J.W. (2022). Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2022). 10.2172/1884909
Bradley, A.M., Bosler, P.A., & Guba, O. (2022). Islet: interpolation semi-Lagrangian element-based transport. Geoscientific Model Development, 15(16), pp. 6285-6310. https://doi.org/10.5194/gmd-15-6285-2022
Jakeman, J.D. (2022). PyApprox: Enabling efficient model analysis. 10.2172/1879614
Loe, J.A., & Morgan, R.B. (2022). Toward efficient polynomial preconditioning for GMRES. Numerical Linear Algebra with Applications, 29(4). 10.1002/nla.2427
Tezaur, I.K., Peterson, K.J., Powell, A.J., Jakeman, J.D., & Roesler, E.L. (2022). Global Sensitivity Analysis Using the Ultra-Low Resolution Energy Exascale Earth System Model. Journal of Advances in Modeling Earth Systems, 14(8). https://doi.org/10.1029/2021ms002831
Mendez Granado, J.P. (2022). Strain-tuning of transport gaps and semiconductor-to-conductor phase transition in twinned graphene. Acta Materialia, 234. 10.1016/j.actamat.2022.117987
Roberds, N.A., Cartwright, K., Sandoval, A.J., Beckwith, K., Cyr, E.C., & Foulk, J.W. (2022). Numerical simulation of a relativistic magnetron using a fluid electron model. Physics of Plasmas, 29(8). 10.1063/5.0090351
Naugle, A.B., Swiler, L.P., Lakkaraju, K., Verzi, S.J., Warrender, C.E., & Romero, V.J. (2022). Graph-Based Similarity Metrics for Comparing Simulation Model Causal Structures. 10.2172/1884926
Turner, E.M., Campbell, Q., Avci, I., Weber, W.J., Lu, P., Wang, G.T., & Jones, K.S. (2022). Selective amorphization of SiGe in Si/SiGe nanostructures via high energy Si+ implant. Journal of Applied Physics, 132(3). 10.1063/5.0094185
Hamlin, N.D., Smith, T.M., Roberds, N.A., Foulk, J.W., & Beckwith, K. (2022). Electrostatic Relativistic Fluid Models of Electron Emission in a Warm Diode. IEEE International Conference on Plasma Science (ICOPS), 2022. 10.1109/icops45751.2022.9813152
Kolla, H., Phipps, E.T., & Wolf, M. (2022). ExaLearn – GenTen Tensor Software ECP Milestone. 10.2172/1876624
Jakeman, J.D., Friedman, S., Eldred, M., Tamellini, L., Gorodetsky, A.A., & Allaire, D. (2022). Adaptive experimental design for multi-fidelity surrogate modeling of multi-disciplinary systems. International Journal for Numerical Methods in Engineering, 123(12), pp. 2760-2790. 10.1002/nme.6958
Shukla, K., Xu, M., Trask, N.A., & Karniadakis, G.E. (2022). Scalable algorithms for physics-informed neural and graph networks. Data-Centric Engineering, 3(6). 10.1017/dce.2022.24
Schultz, P.A., & 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. (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. (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. (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. (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. (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. (2022). QSCOUT Progress Report, June 2022 [Quantum Scientific Computing Open User Testbed]. 10.2172/1873977
Tomas, I., Shadid, J.N., Maier, M., & 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. (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. (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. (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. (2022). CrossSim Inference Manual v2.0. 10.2172/1869509
Jakeman, J.D., Kouri, D.P., & 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. (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. (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. (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. (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. (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. (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. (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. (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. (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