A learned interface-aware neural Newton preconditioner improves convergence on difficult CZM increments while preserving the original discrete solution set and force-displacement response.
Aghili, et al., Accelerating the convergence of newton’s method for nonlinear elliptic pdes using fourier neural operators, arXiv preprint arXiv:2403.03021 (2024).arXiv:2403.03021
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Interface-Aware Neural Newton Preconditioning for Robust Cohesive Zone Model Simulations
A learned interface-aware neural Newton preconditioner improves convergence on difficult CZM increments while preserving the original discrete solution set and force-displacement response.