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Comparison of two artificial neural networks trained for the surrogate modeling of stress in materially heterogeneous elastoplastic solids2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Sarthak Kapoor, Jaber Rezaei Mianroodi, Mohammad Sarkari Khorrami, Nima S. Siboni, Bob Svendsen
3citations -
Mixed formulation of physics‐informed neural networks for thermo‐mechanically coupled systems and heterogeneous domains2023 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Ahmad Moeineddin, Michael Kaliske, Stefanie Reese, Shahed Rezaei
98citations -
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ali Harandi, Ahmad Moeineddin, Bai‐Xiang Xu, Stefanie Reese
216citations -
Post-processing of the planewave approximation of Schrödinger equations. Part I: linear operators2020 IMA Journal of Numerical Analysis article Physics and Astronomy Advanced Chemical Physics Studies Open access
Éric Cancès, Geneviève Dusson, Yvon Maday, Benjamin Stamm, Martin Vohralı́k
7citations -
A model hierarchy for predicting the flow in stirred tanks with physics-informed neural networks2024 Advances in Computational Science and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Veronika Trávníková, Daniel Wolff, Nico Dirkes, Stefanie Elgeti, Eric von Lieres, Marek Behr
5citations -
Scalable and robust wide-field facet calibration with LOFAR’s longest baselines2025 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Radio Astronomy Observations and Technology Open access
Lars Veefkind, Reinout J. van Weeren, J. B. R. Oonk, R. J. Schlimbach, Duncan Kampert, Martin Wild, +4 more
4citations