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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…
Understanding plastic deformation in thermal glasses from single-soft-spot dynamics
Samuel S. Schoenholz, Andrea J. Liu, Robert A. Riggleman +1
By considering the low-frequency vibrational modes of amorphous solids, Manning and Liu [Phys. Rev. Lett. 107, 108302 (2011)] showed that a population of "soft spots" can be identi…
Predicting plasticity with soft vibrational modes: from dislocations to glasses
Joerg Rottler, Samuel S. Schoenholz, Andrea J. Liu
We show that quasi localized low-frequency modes in the vibrational spectrum can be used to construct soft spots, or regions vulnerable to rearrangement, which serve as a universal…