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

Saavedra, G., Cyr, E.C., Schroder, J., & Hewett, R. (2021). Model Parallelism with Spatial Decomposition of Volumetric Data for Deep Learning [Conference Presentation]. 10.2172/1847461

Rao, R.R., Long, K.N., Brown, J.A., Roberts, C., Jones, B.H., Celina, M.C., & Leonard, J.C. (2021). Multiphysics Modeling of Coupled Chemical-Thermal-Mechanical Phenomena in Chemically Blown Polyurethane Foams during Manufacturing & Aging [Conference Presentation]. 10.2172/1847462

McConnell, J., Rao, R.R., Grillet, A.M., Sutherland, J., Newell, P., & Ortiz, W. (2021). Numerical study of an elastoviscoplastic mold filling experiment [Conference Presentation]. 10.2172/1847464

Brigner, W.H., Hassan, N., Bennett, C., Hu, X., Velasquez, A.X., Garcia-Sanchez, F., Marinella, M., Incorvia, J.A.C., & Friedman, J.S. (2021). CMOS-Free Spintronic Neural Network with Unsupervised Learning [Conference Paper]. https://www.osti.gov/biblio/1847465

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

Rodgers, T.M., de Zapiain, D.M., Bolintineanu, D.S., Moser, D.R., & Pokharel, R. (2021). Microstructure-driven Parameter Calibration for Mesoscale Simulation [Conference Poster]. 10.2172/1847468

Ruyack, A., Jordan, M., Moore, C., Hummel, G., Herrera, S., Ballance, M., Schiess, A., Gibson, C.L., & Nordquist, C.D. (2021). On-Wafer Microfabricated Test Structures for Characterizing RF Breakdown in Narrow Gaps [Conference Paper]. 10.1109/WMCS52222.2021.9493274

Johnson, K.L., Emery, J.M., Maestas, D., Smith, M., & Martinez, C. (2021). Predicting Mechanical Performance in Additive Manufacturing Components Using Deep Learning [Conference Presentation]. 10.2172/1847477

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

Manickam, I., Patel, R., Trask, N.A., Wood, M.A., Lee, M., Tomas, I., & Cyr, E.C. (2021). Thermodynamically consistent physics-informed neural networks for hyperbolic systems [Conference Presentation]. 10.2172/1847572

Eldred, M., Gorodetsky, A.A., Geraci, G., Jakeman, J.D., & Portone, T. (2021). Recent Advances in Adaptive Refinement of (Regression-Based) Multifidelity Surrogates for UQ [Conference Presentation]. 10.2172/1847573

Krause, C.F., & Steyer, A.J. (2021). Design and Implementation of ETD Methods for Nonhydrostatic Atmosphere Models [Conference Presentation]. 10.2172/1847574

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

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

Merritt, M., Geraci, G., Eldred, M., & Portone, T. (2021). Hybrid multi-level Monte Carlo polynomial chaos method for global sensitivity analysis [Conference Presentation]. 10.2172/1847581

Results 13651–13675 of 99,299
Results 13651–13675 of 99,299