A Convex Route to Thermoelasticity: Learning Internal Energy and Dissipation (source code and data)

This repository accompanies the work “A Convex Route to Thermomechanics: Learning Internal Energy and Dissipation”. It contains the complete implementation of the physics-based neural network constitutive modeling framework presented in the paper. The provided code includes neural network models for the internal energy, dissipation potential and their implementation in a discretized sense. Further, their training scripts, and finite element simulations using the learned constitutive laws are included.