A causal energetic neural network framework learns thermodynamically consistent history-dependent constitutive laws, proving internal variables are unique up to linear transformation and achieving 2% error on polycrystalline magnesium data.
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A Total Lagrangian finite element framework is derived for finite-deformation multibody dynamics with joints, contacts, and common material models.
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A Neural-Network Framework to Learn History-Dependent Constitutive Laws and Identifiability of Internal Variables
A causal energetic neural network framework learns thermodynamically consistent history-dependent constitutive laws, proving internal variables are unique up to linear transformation and achieving 2% error on polycrystalline magnesium data.
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A Total Lagrangian Finite Element Framework for Multibody Dynamics: Part I -- Formulation
A Total Lagrangian finite element framework is derived for finite-deformation multibody dynamics with joints, contacts, and common material models.