most citedReduced and All-at-Once Approaches for Model Calibration and Discovery in Computational Solid Mechanics

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physics.comp-ph2026

Physics-Informed Reduced-Order Operator Learning for Hyperelasticity in Continuum Micromechanics

Hamidreza Eivazi, Henning Wessels

Physics-informed operator learning is an attractive candidate for surrogate modeling of microstructures, especially in multiscale finite-element simulations. Its practical use, how…