arXiv CS
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Hyperreduction accelerates finite element model updating for the discovery of neural materials
Finite element model updating is among the most general approaches to discover constitutive models from structural experiments: since the displacement field is computed rather than measured, it accommodates arbitrary geometries, boundary conditions, and sparse or noisy data. However, every loss eval
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