most citedPeering inside the black box: Learning the relevance of many-body functions in Neural Network potentials

7 citations · 19 across the 5 of their papers we have counts for

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physics.bio-ph2024★ 3 cited

Learning data efficient coarse-grained molecular dynamics from forces and noise

Aleksander E. P. Durumeric, Yaoyi Chen, Frank Noé +1

Machine-learned coarse-grained (MLCG) molecular dynamics is a promising option for modeling biomolecules. However, MLCG models currently require large amounts of data from referenc…