Hermite-NGP: Gradient-Augmented Hash Encoding for Learning PDEs

Jinjin He, Zhiqi Li, Sinan Wang +1

We propose Hermite-NGP, a gradient-augmented multi-resolution hash encoding designed to enable fast and accurate computation of spatial derivatives for neural PDE solvers. Unlike e…