Learning the Constitutive Behavior of Materials via Neural Operators and Causal Attention: Case Studies in Plasticity and Damage
A data-driven constitutive modeling framework based on the concept of a material operator is proposed, which treats a deforming material as a functional mapping from its entire strain history to the corresponding stress response, and demonstrates accurate and robust predictions of irreversible deformation mechanisms wh...
Rishabh Arora, L. Scheunemann, T. Brepols et al.
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