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Dqc

Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)

Install / Use

/learn @diffqc/Dqc

README

DQC: Differentiable Quantum Chemistry

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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.

<!-- start of readme_appgen.py --> <!-- Please do not edit this part directly, instead add your application in the readme_appgen.py file -->

| Applications | Repo | Paper | |-----------------------------------|------|-------| | Learning xc functional from experimental data | github | Paper | | Basis optimization | github | | | Alchemical perturbation | github | |

<!-- end of readme_appgen.py -->

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.

Related Skills

View on GitHub
GitHub Stars121
CategoryDevelopment
Updated29d ago
Forks15

Languages

Python

Security Score

100/100

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