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Unifying framework for strong and fragile liquids via machine learning: a study of liquid silica
Ekin D. Cubuk, Andrea J. Liu, Efthimios Kaxiras +1
The fragility of a glassforming liquid characterizes how rapidly its relaxation dynamics slow down with cooling. The viscosity of strong liquids follows an Arrhenius law with a tem…
Disconnecting structure and dynamics in glassy thin films
Daniel M. Sussman, Samuel S. Schoenholz, Ekin D. Cubuk +1
Nanometrically thin glassy films depart strikingly from the behavior of their bulk counterparts. We investigate whether the dynamical differences between bulk and thin film glasses…
The Relationship Between Local Structure and Relaxation in Out-of-Equilibrium Glassy Systems
Samuel S. Schoenholz, Ekin D. Cubuk, Efthimios Kaxiras +1
The dynamical glass transition is typically taken to be the temperature at which a glassy liquid is no longer able to equilibrate on experimental timescales. Consequently, the phys…
A structural approach to relaxation in glassy liquids
Samuel S. Schoenholz, Ekin D. Cubuk, Daniel M. Sussman +2
When a liquid freezes, a change in the local atomic structure marks the transition to the crystal. When a liquid is cooled to form a glass, however, no noticeable structural change…
Identifying structural flow defects in disordered solids using machine learning methods
Ekin D. Cubuk, Samuel S. Schoenholz, Jennifer M. Rieser +5
We use machine learning methods on local structure to identify flow defects - or regions susceptible to rearrangement - in jammed and glassy systems. We apply this method successfu…