CAMP

CAMP (Cartesian Atomistic Moment Potentials) for materials and molecular systems.

Installation

Follow the official documentation to install pytorch>=2.0.0.

Then get CAMP and install it by:

git clone https://github.com/mjwen/camp.git
cd camp
pip install -e .

If you get into trouble with some of the dependencies, try

pip install -e '.[strict]'

which will install the dependencies with pinned versions.

Examples

Example training scripts and configuration files can be found in the scripts directory.

Pretrained models for LiPS, md17, bulk water, and bilayer graphene are available at: https://github.com/wengroup/camp_run.

Citation

Wen, M., Huang, W. F., Dai, J., & Adhikari, S.. Cartesian Atomic Moment Machine Learning Interatomic Potentials. npj Computational Materials, 11, 128, 2025.

@article{wen2025cartesian,
    author  = {Wen, Mingjian and Huang, Wei-Fan and Dai, Jin and Adhikari, Santosh},
    title   = {Cartesian atomic moment machine learning interatomic potentials},
    journal = {npj Computational Materials},
    volume  = {11},
    number  = {128},
    year    = {2025},
    doi     = {10.1038/s41524-025-01623-4}
}