220 citations · 307 across the 16 of their papers we have counts for
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cond-mat.soft2024★ 1 cited
The dynamics of machine-learned "softness" in supercooled liquids describe dynamical heterogeneity
Sean A. Ridout, Andrea J. Liu
The dynamics of supercooled liquids slow down and become increasingly heterogeneous as they are cooled. Recently, local structural variables identified using machine learning, such…
cond-mat.soft2024★ 1 cited
Machine learning that predicts well may not learn the correct physical descriptions of glassy systems
Arabind Swain, Sean Alexander Ridout, Ilya Nemenman
The complexity of glasses makes it challenging to explain their dynamics. Machine Learning (ML) has emerged as a promising pathway for understanding glassy dynamics by linking thei…