Skip to content
forked from nanditadoloi/PINN

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

License

Notifications You must be signed in to change notification settings

s-shivanand/PINN

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 

Repository files navigation

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.

About

Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%