450 citations · 1.3k across the 16 of their papers we have counts for
16 papers
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…
Structuro-elasto-plasticity (StEP) model for plasticity in disordered solids
Ge Zhang, Hongyi Xiao, Entao Yang +5
Elastoplastic lattice models for the response of solids to deformation typically incorporate structure only implicitly via a local yield strain that is assigned to each site. Howev…
Fragility in Glassy Liquids: A Structural Approach Based on Machine Learning
Indrajit Tah, Sean A. Ridout, Andrea J. Liu
The rapid rise of viscosity or relaxation time upon supercooling is universal hallmark of glassy liquids. The temperature dependence of the viscosity, however, is quite non univers…
Probing the Gardner transition in an active quasi-thermal pressure-controlled granular system
Hongyi Xiao, Andrea J. Liu, Douglas J. Durian
To experimentally search for signals of the Gardner transition, an active quasi-thermal granular glass is constructed using a monolayer of air-fluidized star-shaped granular partic…
Free-then-freeze: transient learning degrees of freedom for introducing function in materials
Varda F. Hagh, Sidney R. Nagel, Andrea J. Liu +2
The introduction of transient learning degrees of freedom into a system can lead to novel material design and training protocols that guide a system into a desired metastable state…
Predicting plasticity in disordered solids from structural indicators
D. Richard, M. Ozawa, S. Patinet +16
Amorphous solids lack long-range order. Therefore identifying structural defects -- akin to dislocations in crystalline solids -- that carry plastic flow in these systems remains a…
Instabilities of jammed packings of frictionless spheres under compression
Ning Xu, Andrea J. Liu, Sidney R. Nagel
We consider the contribution to the density of vibrational states and the distribution of energy barrier heights of incipient instabilities in a glass modeled by a jammed packing o…
Pinning Susceptibility: The effect of dilute, quenched disorder on jamming
Amy L. Graves, Samer Nashed, Elliot Padgett +3
We study the effect of dilute pinning on the jamming transition. Pinning reduces the average contact number needed to jam unpinned particles and shifts the jamming threshold to low…
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…
Temperature-pressure scaling for air-fluidized grains on approaches to Point J
L. J. Daniels, T. K. Haxton, N. Xu +2
We present experiments on a monolayer of air-fluidized beads in which a jamming transition is approached by increasing pressure, increasing packing fraction, and decreasing kinetic…
Mapping the glassy dynamics of soft spheres onto hard-sphere behavior
Michael Schmiedeberg, Thomas K. Haxton, Sidney R. Nagel +1
We show that the dynamics of soft-sphere systems with purely repulsive interactions can be described by introducing an effective hard-sphere diameter determined using the Andersen-…
Vibrational modes identify soft spots in a sheared disordered packing
M. Lisa Manning, Andrea J. Liu
We analyze low-frequency vibrational modes in a two-dimensional, zero-temperature, quasistatically sheared model glass to identify a population of structural "soft spots" where par…