3 papers
cs.CE2026
A Non-Overlapping Schwarz Hybrid Finite Element-Neural Operator Framework for Solid Mechanics on Irregular Domains
Wei Wang, Abhinav Gupta, Haihui Ruan +1
Finite element (FE) methods are the benchmark for solid mechanics simulations, yet their computational cost becomes prohibitive for problems with localised nonlinearities, fine-sca…
physics.comp-ph2026
Causality-Respecting Adaptive Refinement for PINNs: Enabling Precise Interface Evolution in Phase Field Modeling
Wei Wang, Tang Paai Wong, Haihui Ruan +1
Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving physical systems described by partial differential equations (PDEs). However, their accuracy in…
cs.LG2025
Time Marching Neural Operator FE Coupling: AI Accelerated Physics Modeling
Wei Wang, Maryam Hakimzadeh, Haihui Ruan +1
Numerical solvers for PDEs often struggle to balance computational cost with accuracy, especially in multiscale and time-dependent systems. Neural operators offer a promising way t…