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PLIP (Physical LassoLars Interactions Potential) is a Python package for machine learning interatomic potentials for materials modelling. Physical Lasso-Lars Interaction Potential (PLIP) has been developed to address the lack of interpretability of MLIPs. PLIP uses a physically motivated mathematical formulation for the potential and a constrained linear regression. The MLIP is constructed as a linear combination of classical interactions, including two-body, three-body, and many-body interactions. These interactions are made up of simple functions such as Lennard-Jones, Gaussian, and Slatter-type orbitals, as well as explicit angular functions and embedded atom-like interactions.

Installation

git clone https://github.com/LAM-GROUP/PLIP.git
cd  PLIP
pip install .

Documentation

The full documentation is available at plip.readthedocs.io.

Authors

The PLIP package was developed by Julien Lam, Akshay Krishna AK, Aurélien Roux

License

The PLIP package is distributed under terms of GNU GPLv3.

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  • C++ 74.7%
  • Python 19.1%
  • Jupyter Notebook 6.2%