A framework using input convex neural networks to represent internal energy and dissipation potential for discovering thermomechanical constitutive models while guaranteeing thermodynamic admissibility by construction.
Polyconvex neural networks for hyperelastic constitutive models: A rectification approach.Me- chanics Research Communications, 125:103993, 2022
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A Convex Route to Thermomechanics: Learning Internal Energy and Dissipation
A framework using input convex neural networks to represent internal energy and dissipation potential for discovering thermomechanical constitutive models while guaranteeing thermodynamic admissibility by construction.