Author

M. Eshaghi

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Preprint Aug 2026

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.

Yi-Zheng Wang, M. Eshaghi, Hua-Dong Zhang et al. · 0 citations

Preprint Aug 2026

Neural Operators for Immersed-Boundary Soft Swimmers Locomotion

High-fidelity immersed-boundary simulation resolves the coupled motion of a deforming swimmer and its surrounding flow, but the resulting cost limits repeated evaluations for engineering design, parameter studies, and control. We develop neural-operator surrogates for temporal prediction of the hydrodynamic fields gene...

M. Eshaghi, Yi-Zheng Wang, N. Valizadeh et al. · 0 citations