Skip to content

mfrankel923/Chemical-Data-X-TFC

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 

Repository files navigation

Chemical-Data-X-TFC

This repository contains sample code associated with the the manuscript "Enhancing drinking water quality modeling: Leveraging Physics Informed Neural Networks (PINNs) for learning with incomplete reaction models and data" submitted for review. This page will be updated upon publication with the citation of the paper. The code in this repository can be used to reproduce results shown in Figures 2 and 4 in the manuscript.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages