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https://github.com/diffqc/dqc
Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)
https://github.com/diffqc/dqc
automatic-differentiation computational-chemistry computational-physics density-functional-theory hartree-fock quantum-chemistry
Last synced: 3 months ago
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Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)
- Host: GitHub
- URL: https://github.com/diffqc/dqc
- Owner: diffqc
- License: apache-2.0
- Created: 2020-01-08T10:49:16.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2022-03-13T06:01:35.000Z (over 2 years ago)
- Last Synced: 2024-06-29T12:34:58.881Z (5 months ago)
- Topics: automatic-differentiation, computational-chemistry, computational-physics, density-functional-theory, hartree-fock, quantum-chemistry
- Language: Python
- Homepage: https://dqc.readthedocs.io/
- Size: 70.9 MB
- Stars: 100
- Watchers: 3
- Forks: 14
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# DQC: Differentiable Quantum Chemistry
![Build](https://img.shields.io/github/workflow/status/diffqc/dqc/ci?style=flat-square)
[![Code coverage](https://img.shields.io/codecov/c/github/diffqc/dqc?style=flat-square)](https://app.codecov.io/gh/diffqc/dqc)
[![Docs](https://img.shields.io/readthedocs/dqc?style=flat-square)](https://dqc.readthedocs.io/)Differentiable quantum chemistry package.
Currently only support differentiable density functional theory (DFT)
and Hartree-Fock (HF) calculation.Installation, tutorials, and documentations can be found at: https://dqc.readthedocs.io/
## Applications
Here is a list of applications made easy by DQC.
If you want your applications listed here, please contact us by opening an issue
or make a pull request.| Applications | Repo | Paper |
|-----------------------------------|------|-------|
| Learning xc functional from experimental data | [![github](docs/data/readme_icons/github.svg)](https://github.com/mfkasim1/xcnn) | [![Paper](docs/data/readme_icons/paper.svg)](https://arxiv.org/abs/2102.04229) |
| Basis optimization | [![github](docs/data/readme_icons/github.svg)](https://github.com/diffqc/dqc-apps/tree/main/01-basis-opt) | |
| Alchemical perturbation | [![github](docs/data/readme_icons/github.svg)](https://github.com/diffqc/dqc-apps/tree/main/04-alchemical-perturbation) | |## Citations
If you are using DQC for your publication, please kindly cite the following
@article{PhysRevLett.127.126403,
title = {Learning the Exchange-Correlation Functional from Nature with Fully Differentiable Density Functional Theory},
author = {Kasim, M. F. and Vinko, S. M.},
journal = {Phys. Rev. Lett.},
volume = {127},
issue = {12},
pages = {126403},
numpages = {7},
year = {2021},
month = {Sep},
publisher = {American Physical Society},
doi = {10.1103/PhysRevLett.127.126403},
url = {https://link.aps.org/doi/10.1103/PhysRevLett.127.126403}
}If you want to read the paper in arxiv, you can find it [here](https://arxiv.org/abs/2102.04229).