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A physics-informed operator regression framework for extracting data-driven continuum models., , , and . CoRR, (2020)Thermodynamically consistent physics-informed neural networks for hyperbolic systems., , , , , , and . CoRR, (2020)Goal-Oriented Adaptivity and Multilevel Preconditioning for the Poisson-Boltzmann Equation., , , and . J. Sci. Comput., 52 (1): 202-225 (2012)Using the method of weighted residuals to compute potentials of mean force., and . J. Comput. Phys., 225 (1): 714-729 (2007)A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics., , , , , and . J. Comput. Phys., (2015)Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint., , , , and . MSML, volume 107 of Proceedings of Machine Learning Research, page 512-536. PMLR, (2020)Partition of Unity Networks: Deep HP-Approximation., , , , and . AAAI Spring Symposium: MLPS, volume 2964 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Using Design Patterns and XML to Construct an Extensible Finite Element System., , , and . International Conference on Computational Science (3), volume 2331 of Lecture Notes in Computer Science, page 735-744. Springer, (2002)A Monolithic Algebraic Multigrid Framework for Multiphysics Applications with Examples from Resistive MHD., , , , , and . CoRR, (2021)Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint., , , , and . CoRR, (2019)