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Hangzhou Dianzi University
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Unlocking accurate reactive dynamics in energetic materials with MLPs trained on a mere 13,680 configurations by integrating a novel spherical-harmonic basis and knowledge-guided active learning.
Transforming passive materials databases into an active Materials Bank could revolutionize how we identify and leverage high-potential materials for industrial innovation.