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A new dataset, MAD-1.5, promises to unlock more accurate and broadly applicable atomistic simulations by providing high-quality, consistent data across 102 elements of the periodic table.
Achieve up to 96% training time reduction for calibrated machine learning interatomic potentials by fine-tuning shallow ensembles, without sacrificing calibration quality.
