ML Performance and Extrapolation Guide
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Updated
Mar 29, 2026 - Python
ML Performance and Extrapolation Guide
ASE with Rust hot paths — 12× faster neighbor lists, 6× faster VASP IO, 3.5× faster extxyz. Drop-in: pip install ase-fast
HH130 Database Process to Graphs
Repository containing the workflow files, pseudocode, algorithm descriptions, and implementation skeletons used to construct the validated machine-learning interatomic potential framework for the reactive hematite–water interface
Training dataset and workflow files for a validated machine-learning interatomic potential framework for reactive dynamics at the hematite–water interface.
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