activity
20142026
most citedPerspective: Energy Landscapes for Machine Learning

104 citations · 543 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cond-mat.soft2023★ 14 cited

Transport and Energetics of Bacterial Rectification

Satyam Anand, Xiaolei Ma, Shuo Guo +2

Randomly moving active particles can be herded into directed motion by asymmetric geometric structures. Although such a rectification process has been extensively studied due to it…

cond-mat.mtrl-sci2023

ColabFit Exchange: open-access datasets for data-driven interatomic potentials

Joshua A. Vita, Eric G. Fuemmeler, Amit Gupta +5

Data-driven (DD) interatomic potentials (IPs) trained on large collections of first principles calculations are rapidly becoming essential tools in the fields of computational mate…

math.DS2023★ 2 cited

Element-wise and Recursive Solutions for the Power Spectral Density of Biological Stochastic Dynamical Systems at Fixed Points

Shivang Rawat, Stefano Martiniani

Stochasticity plays a central role in nearly every biological process, and the noise power spectral density (PSD) is a critical tool for understanding variability and information p…

cond-mat.stat-mech2023★ 17 cited

Fast Generation of Spectrally-Shaped Disorder

Aaron Shih, Mathias Casiulis, Stefano Martiniani

Media with correlated disorder display unexpected transport properties, but it is still a challenge to design structures with desired spectral features at scale. In this work, we i…

cond-mat.soft2023★ 43 cited

Estimating random close packing in polydisperse and bidisperse hard spheres via an equilibrium model of crowding

Carmine Anzivino, Mathias Casiulis, Tom Zhang +3

We show that an analogy between crowding in fluid and jammed phases of hard spheres captures the density dependence of the kissing number for a family of numerically generated jamm…