Skip to content

Incorporation of density scaling constraint in density functional design via contrastive representation learning implemented in PyTorch.

License

Notifications You must be signed in to change notification settings

qmatyanlab/DFCL

Repository files navigation

Density Functional Contrastive Learning

This package implements the Density Functional Contrastivce Learning (DFCL) framework proposed in the paper Incorporation of density scaling constraint in density functional design via contrastive representation learning .

Prerequisites

How to cite

If you are using DFCL for your research, please cite as the following:

@misc{gong2022incorporation,
    title={Incorporation of density scaling constraint in density functional design via contrastive representation learning},
    author={Weiyi Gong and Tao Sun and Hexin Bai and Shah Tanvir ur Rahman Chowdhury and Peng Chu and Anoj Aryal and Jie Yu and Haibin Ling and John P. Perdew and Qimin Yan},
    year={2022},
    eprint={2205.15071},
    archivePrefix={arXiv},
    primaryClass={physics.chem-ph}
}

About

Incorporation of density scaling constraint in density functional design via contrastive representation learning implemented in PyTorch.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages