450 citations · 1.3k across the 16 of their papers we have counts for
4 papers · 1 filter
Building a "trap model" of glassy dynamics from a local structural predictor of rearrangements
Sean A. Ridout, Indrajit Tah, Andrea J. Liu
Here we introduce a variation of the trap model of glasses based on softness, a local structural variable identified by machine learning, in supercooled liquids. Softness is a part…
The Physical Effects of Learning
Menachem Stern, Andrea J. Liu, Vijay Balasubramanian
Interacting many-body physical systems ranging from neural networks in the brain to folding proteins to self-modifying electrical circuits can learn to perform diverse tasks. This…
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…
Machine learning-informed structuro-elastoplasticity predicts ductility of disordered solids
Hongyi Xiao, Ge Zhang, Entao Yang +5
All solids yield under sufficiently high mechanical loads. Below yield, the mechanical responses of all disordered solids are nearly alike, but above yield every different disorder…