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Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

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Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

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.

3D plot of the solution to 1D Heat Equation.

image

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.

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