cond-mat.mtrl-sci, cs.LG, cs.NA, math.NA, physics.comp-ph, stat.CO

Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws

arXiv:2603.12365v2 Announce Type: replace-cross
Abstract: History-dependent constitutive models serve as macroscopic closures for the aggregated effects of micromechanics. Their parameters are typically learned from experimental data. With a limited e…