Skip to content
forked from lu-group/gpinn

gPINN: Gradient-enhanced physics-informed neural networks

License

Notifications You must be signed in to change notification settings

MinZhu123/gpinn

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 

Repository files navigation

gPINN: Gradient-enhanced physics-informed neural networks

The data and code for the paper J. Yu, L. Lu, X. Meng, & G. E. Karniadakis. Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems. Computer Methods in Applied Mechanics and Engineering, 393, 114823, 2022.

Code

Cite this work

If you use this data or code for academic research, you are encouraged to cite the following paper:

@article{yu2022gradient,
  title   = {Gradient-enhanced physics-informed neural networks for forward and inverse {PDE} problems},
  author  = {Yu, Jeremy and Lu, Lu and Meng, Xuhui and Karniadakis, George Em},
  journal = {Computer Methods in Applied Mechanics and Engineering},
  volume  = {393},
  pages   = {114823},
  year    = {2022},
  doi     = {https://doi.org/10.1016/j.cma.2022.114823}
}

Questions

To get help on how to use the data or code, simply open an issue in the GitHub "Issues" section.

About

gPINN: Gradient-enhanced physics-informed neural networks

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%