This repository contains my simple and clear to understand implementation of the paper [1]. As an example, I solved the 1D heat partial differential equation.
All the steps are included in a single file: solve_PDE_NN.ipynb which depends on the pytorch and numpy packages.
[1] Raissi, Maziar, Paris Perdikaris, and George E. Karniadakis. "Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations." Journal of Computational Physics 378 (2019): 686-707.