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cond-mat.soft2024
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
Universal scaling function ansatz for finite-temperature jamming
Sean A. Ridout, Andrea J. Liu, James P. Sethna
We cast a nonzero-temperature analysis of the jamming transition into the framework of a scaling ansatz. We show that four distinct regimes for scaling exponents of thermodynamic d…
cond-mat.soft2024
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…