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.
Neuralnetwork-basedmultiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria.Computer Methods in Applied Mechanics and Engineering, 421:116739, 2024
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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.