Multiscale Thermodynamics-Informed Neural Networks (MuTINN) towards fast and frugal inelastic computation of woven composite structures

被引：0

作者：

El Fallaki Idrissi, M. ^{[1
,2
]}

Praud, F. ^{[1
]}

Meraghni, F. ^{[1
]}

Chinesta, F. ^{[2
]}

Chatzigeorgiou, G. ^{[1
]}

机构：

[1] Arts et Métiers Institute of Technology, CNRS, LEM3-UMR 7239, 4 rue Augustin Fresnel, Metz,57078, France

[2] ESI Chair, Arts et Métiers Institute of Technology, CNRS, PIMM-UMR 8006, 151 Boulevard de l'Hôpital, Paris,75013, France

来源：

Journal of the Mechanics and Physics of Solids | 2024年 / 186卷

关键词：

The authors gratefully acknowledge ESI Chair for the support that greatly assisted this research; and the Arts et Métiers High Performance Computing Center Cassiopee made available for conducting the research reported in this paper;

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