Physically recurrent neural network for rate and path-dependent heterogeneous materials in a finite strain framework

M. A. Maia, I. B. C. M. Rocha, D. Kovačević +1

In this work, a hybrid physics-based data-driven surrogate model for the microscale analysis of heterogeneous material is investigated. The proposed model benefits from the physics…