Hua-dong Zhang

Plasolver: Physics-Informed Neural Operators for Elastoplasticity

Plasolver, a physics-informed neural operator framework that combines the efficiency of operator learning with the accuracy and robustness of classical numerical solvers, provides an efficient, accurate, and discretization-invariant computational framework for nonlinear, path-dependent elastoplastic problems.