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PDMD Python package to perform automatic machine-learning (ML) model training, deployment, and assessment for ultrafast high-fidelity molecular dynamics simulations.
New features vs 3.0:
- Integrated the VESIN library for faster construction of neighbor lists.
- Implemented multi-node and multi-device training for larger datasets.
- Enabled MLP-based edge attributes for more efficient modeling of chemical environments.