DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data

Hao Xu, Haibin Chang, Dongxiao Zhang

In recent years, data-driven methods have been developed to learn dynamical systems and partial differential equations (PDE). The goal of such work is discovering unknown physics a…