Matthew Choptuik

A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks

Unlike conventional grid and mesh based methods for solving partial differential equations (PDEs), neural networks have the potential to break the curse of dimensionality, providing approximate solutions to problems where using classical solvers is difficult or impossible. While global minimization…