Input convex neural networks: universal approximation theorem and implementation for isotropic polyconvex hyperelastic energies

Gian-Luca Geuken, Patrick Kurzeja, David Wiedemann +1

This paper presents a novel framework of neural networks for isotropic hyperelasticity that enforces necessary physical and mathematical constraints while simultaneously satisfying…