220 citations · 307 across the 16 of their papers we have counts for
16 papers
You ain't seen nothing, and yet: Future biochemical concentrations can be predicted with surprisingly high accuracy
Ketevan Danelia, Sean A. Ridout, Ilya Nemenman
Accurate sensing of chemical concentrations is essential for numerous biological processes. The accuracy of this sensing, for small numbers of molecules, is limited by shot noise.…
Distribution of singular values in large sample cross-covariance matrices
Arabind Swain, Sean Alexander Ridout, Ilya Nemenman
For two large matrices and with Gaussian i.i.d.\ entries and dimensions and , respectively, we derive the probability distrib…
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…
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…
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…
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…
Jammed solids with pins: Thresholds, Force networks and Elasticity
Andy L. Zhang, Sean A. Ridout, Celia Parts +6
The role of fixed degrees of freedom in soft/granular matter systems has broad applicability and theoretical interest. Here we address questions of the geometrical role that a scaf…
Correlation of plastic events with local structure in jammed packings across spatial dimensions
Sean A. Ridout, Jason W. Rocks, Andrea J. Liu
In jammed packings, it is usually thought that local structure only plays a significant role in specific regimes. The standard deviation of the relative excess coordination, $σ_Z/…
Learning-based approach to plasticity in athermal sheared amorphous packings: Improving softness
Jason W. Rocks, Sean A. Ridout, Andrea J. Liu
The plasticity of amorphous solids undergoing shear is characterized by quasi-localized rearrangements of particles. While many models of plasticity exist, the precise relationship…
Interplay of rearrangements, strain, and local structure during avalanche propagation
Ge Zhang, Sean Ridout, Andrea J. Liu
Jammed soft disks exhibit avalanches of particle rearrangements under quasistatic shear. We follow the avalanches using steepest descent to decompose them into individual localized…
Mean-Field Predictions of Scaling Prefactors Match Low-Dimensional Jammed Packings
James D Sartor, Sean A. Ridout, Eric I. Corwin
No known analytic framework precisely explains all the phenomena observed in jamming. The replica theory for glass and jamming is a mean field theory which attempts to do so by wor…
Structured randomness: Jamming of soft discs and pins
Prairie Wentworth-Nice, Sean A. Ridout, Brian Jenike +2
Simulations are used to find the zero temperature jamming threshold, , for soft, bidisperse disks in the presence of small fixed particles, or "pins", arranged in a lattice. T…
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…