A physics-constrained neural network for finite-strain incompressible viscoelasticity that keeps inelastic deformations unimodular and learns the number of Maxwell elements from data.
Neural Networks for Con- stitutive Modeling: From Universal Function Approximators to Advanced Models and the Integration of Physics
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A physics-augmented neural network framework for finite strain incompressible viscoelasticity
A physics-constrained neural network for finite-strain incompressible viscoelasticity that keeps inelastic deformations unimodular and learns the number of Maxwell elements from data.