Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations. Journal of Computational physics, 378, ...

Python Implementation of Ordinary Differential Equations Solvers using Hybrid Physics-informed Neural Networks This repository is provided as a tutorial for the implementation of integration ...

AN excellent introduction to the subject of vector analysis is provided by this book. It is admirably clear, and a natural temptation to develop so fertile a theory in excessive detail and to ...

The new paradigm represented by 'AI for Science' is facilitating the transition of scientific computing from traditional physics-driven models to intelligent paradigms that integrate data and ...