72 citations · 112 across the 3 of their papers we have counts for
3 papers
cond-mat.stat-mech2022★ 37 cited
Dimensionality reduction of local structure in glassy binary mixtures
Daniele Coslovich, Robert L. Jack, Joris Paret
We consider unsupervised learning methods for characterizing the disordered microscopic structure of supercooled liquids and glasses. Specifically, we perform dimensionality reduct…
physics.comp-ph2021★ 3 cited
partycls: A Python package for structural clustering
Joris Paret, Daniele Coslovich
partycls is a Python framework for cluster analysis of systems of interacting particles. By grouping particles that share similar structural or dynamical properties, partycls enabl…
cond-mat.stat-mech2020★ 72 cited
Assessing the structural heterogeneity of supercooled liquids through community inference
Joris Paret, Robert L. Jack, Daniele Coslovich
We present an information-theoretic approach inspired by distributional clustering to assess the structural heterogeneity of particulate systems. Our method identifies communities…