Skip to content

Optimize force field parameters against QC data using pytorch

License

Notifications You must be signed in to change notification settings

lgtm-migrator/descent

 
 

Repository files navigation

DESCENT

Test Status Language grade: Python codecov License: MIT

Optimize force field parameters against QC data using pytorch.

Warning: This code is currently experimental and under active development. If you are using this code, be aware that it is not guaranteed to provide the correct results, and the API can change without notice.

Installation

The package and its dependencies can be installed into a new conda environment using the conda package manager:

conda env create --name descent --file devtools/conda-envs/meta.yaml

Getting Started

Examples for using this framework can be found in the examples directory.

Copyright

Copyright (c) 2021, Simon Boothroyd

About

Optimize force field parameters against QC data using pytorch

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%