NeuralPDESolver

A Julia toolkit for learning surrogate solvers of parametric partial differential equations. It couples classical discretizations with neural operators, trading a little accuracy for large speedups at inference time.

Includes example problems (diffusion, advection, elasticity) and utilities for training, evaluation, and error analysis against high-fidelity references.