Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains
DOI10.1002/nme.7388zbMath1548.74976MaRDI QIDQ6569914
Stefanie Reese, Ali Harandi, Shahed Rezaei, Michael Kaliske, Ahmad Moeineddin
Publication date: 9 July 2024
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
hard constraintsheterogeneous solidsphysics-informed neural networksthermo-mechanically coupled problemsparametric learning
Finite element methods applied to problems in solid mechanics (74S05) Thermodynamics in solid mechanics (74A15) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Numerical and other methods in solid mechanics (74S99)
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