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most citedAlphaNet: Scaling Up Local-frame-based Atomistic Interatomic Potential

3 citations · 3 across the 3 of their papers we have counts for

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cs.LG2024

Ensemble Learning of Machine Learning Force Fields

Bangchen Yin, Yue Yin, Yuda W. Tang +1

Machine learning force fields (MLFFs) are a promising approach to balance the accuracy of quantum mechanics with the efficiency of classical potentials, yet selecting an optimal mo…