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python-ace's Introduction

Description

This repository contains pacemaker - a tool for fitting of interatomic potentials in a general nonlinear Atomic Cluster Expansion (ACE) form. It is based on the pyace (this repo) and tensorpotential(another repo) Python packages.

Installation

Please follow these instructions.

Documentation

Please see the docs folder for documentation or check online documentation

Citation

Please cite following papers:

BibTeX:

@article{bochkarev2022efficient,
  title={Efficient parametrization of the atomic cluster expansion},
  author={Bochkarev, Anton and Lysogorskiy, Yury and Menon, Sarath and Qamar, Minaam and Mrovec, Matous and Drautz, Ralf},
  journal={Physical Review Materials},
  volume={6},
  number={1},
  pages={013804},
  year={2022},
  publisher={APS}
}

@article{lysogorskiy2021performant,
  title={Performant implementation of the atomic cluster expansion (PACE) and application to copper and silicon},
  author={Lysogorskiy, Yury and Oord, Cas van der and Bochkarev, Anton and Menon, Sarath and Rinaldi, Matteo and Hammerschmidt, Thomas and Mrovec, Matous and Thompson, Aidan and Cs{\'a}nyi, G{\'a}bor and Ortner, Christoph and others},
  journal={npj Computational Materials},
  volume={7},
  number={1},
  pages={1--12},
  year={2021},
  publisher={Nature Publishing Group}
}

@article{drautz2019atomic,
  title={Atomic cluster expansion for accurate and transferable interatomic potentials},
  author={Drautz, Ralf},
  journal={Physical Review B},
  volume={99},
  number={1},
  pages={014104},
  year={2019},
  publisher={APS}
}

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