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Framework for random structure search using polynomial machine learning potentials

How to use rsspolymlp

Installation

Required libraries and python modules

  • python >= 3.10
  • scikit-learn
  • joblib
  • pypolymlp
  • spglib
  • symfc

[Optional]

  • matplotlib, seaborn
  • pymatgen

How to install

  • Install from conda-forge
Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
conda create -n rsspolymlp
conda activate rsspolymlp
conda install -c conda-forge rsspolymlp
  • Install from PyPI
conda create -n rsspolymlp
conda activate rsspolymlp
conda install -c conda-forge scikit-learn joblib pypolymlp spglib symfc
pip install rsspolymlp

Citation of rsspolymlp

If you use rsspolymlp in your study, please cite the following articles.

“Systematic global structure search of bismuth-based binary systems under pressure using machine learning potentials”, Phys. Rev. Materials 10, 093801 (2026)

@article{Phys.Rev.Mater.10.093801,
  title = {Systematic global structure search of bismuth-based binary systems under pressure using machine learning potentials},
  author = {Wakai, Hayato and Ishiwata, Shintaro and Seko, Atsuto},
  journal = {Phys. Rev. Mater.},
  volume = {10},
  issue = {9},
  pages = {093801},
  numpages = {28},
  year = {2026},
  month = {Sep},
  publisher = {American Physical Society},
  doi = {10.1103/k9sg-v7hl},
  url = {https://link.aps.org/doi/10.1103/k9sg-v7hl}
}

Metadata

Release files for rsspolymlp 0.4.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for rsspolymlp 0.4.2
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Release files / rsspolymlp-0.4.2.tar.gz

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