``mattersim`` ============= ``graph-pes`` allows you fine-tune and use the ``mattersim`` series of models in the same way as any other :class:`~graph_pes.GraphPESModel`, either via the Python API: .. code-block:: python from graph_pes.interfaces import mattersim model = mattersim("mattersim-v1.0.0-1m") model.predict_energy(graph) ... or within a ``graph-pes-train`` configuration file: .. code-block:: yaml model: +mattersim: load_path: "mattersim-v1.0.0-5m" If you use any ``mattersim`` models in your work, please visit the `mattersim `__ repository and cite the following: .. code-block:: bibtex @article{yang2024mattersim, title={MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures}, author={Han Yang and Chenxi Hu and Yichi Zhou and Xixian Liu and Yu Shi and Jielan Li and Guanzhi Li and Zekun Chen and Shuizhou Chen and Claudio Zeni and Matthew Horton and Robert Pinsler and Andrew Fowler and Daniel Zügner and Tian Xie and Jake Smith and Lixin Sun and Qian Wang and Lingyu Kong and Chang Liu and Hongxia Hao and Ziheng Lu}, year={2024}, eprint={2405.04967}, archivePrefix={arXiv}, primaryClass={cond-mat.mtrl-sci}, url={https://arxiv.org/abs/2405.04967}, journal={arXiv preprint arXiv:2405.04967} } Installation ------------ To install ``graph-pes`` with support for ``mattersim`` models, you need to install the `mattersim `__ package. We recommend doing this in a new environment: .. code-block:: bash conda create -n graph-pes-mattersim python=3.9 conda activate graph-pes-mattersim pip install mattersim graph-pes Interface --------- .. autofunction:: graph_pes.interfaces.mattersim