MatterSim: A deep learning atomistic model across elements, temperatures and pressures.
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
A Local Frame-based Atomistic Potential
Tools to interface ChIMES with various external codes.
CLI toolkit for training and applying DeePMD models
Evaluation of universal machine learning force-fields https://doi.org/10.1021/acsmaterialslett.5c00093
Model zoo and experimental features of machine learning interatomic potentials.
Tools to develop ChIMES parameter sets
A Multi-Operator Equivariant Framework for High-Fidelity Machine Learning Force Fields
AI-driven framework for automated ChIMES model development
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