A. Yadav

A variational physics-informed graph neural network for heterogeneous solid mechanics

This work presents a variational, label-free physics-informed graph neural network (PI-GNN) in which the heterogeneity is carried by the discretization rather than by the trial field, a variationally consistent, penalty-free interface representation for parametric surrogates and inverse identification rather than a rep...