Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity

Nikolaos Vlassis, Ran Ma, WaiChing Sun

This paper is the first attempt to use geometric deep learning and Sobolev training to incorporate non-Euclidean microstructural data such that anisotropic hyperelastic material ma…