This work introduces a model-agnostic framework for training and inference to enable accurate partial differential equation solving (down to double precision) for problems with arbitrary sizes and ...

This set of tutorials are written at an introductory level for an engineering or physical sciences major. It is ideal for someone who has completed college level courses in linear algebra, calculus ...

This repository contains the numerical examples for the paper Prediction error certification for PINNs: Theory, computation, and application to Stokes flow [1]. In ...