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

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2024★ 1 cited

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…