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MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
A foundational potential energy dataset for materials
Run atomistic simulations with state-of-the-art universal machine learning interatomic potentials (MLIPs) for molecules and materials
A c++ code to convert bestsqs.out from mcsqs (ATAT) to POSCAR for VASP.