Physics-aware neural implicit solvers for multiscale, parametric PDEs with applications in heterogeneous media
DOI10.1016/j.cma.2024.117342MaRDI QIDQ6641874
Phaedon-Stelios Koutsourelakis, Matthaios Chatzopoulos
Publication date: 21 November 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
machine learningdeep learningdata-drivenrandom heterogeneous materialshigh-dimensional surrogatesvirtual observablesprobabilistic surrogate
Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) (74F10) Boundary value problems for nonlinear higher-order PDEs (35G30) Finite element methods applied to problems in fluid mechanics (76M10) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60)
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