Structural Covariance in the Hard Sphere Fluid
Disordered Systems and Neural Networks
2018-07-04 v4 Statistical Mechanics
Abstract
We study the joint variability of structural information in a hard sphere fluid biased to avoid crystallisation and form fivefold symmetric geometric motifs. We show that the structural covariance matrix approach, originally proposed for on-lattice liquids [Ronceray and Harrowell, JCP 2016], can be meaningfully employed to understand structural relationships between different motifs and can predict, within the linear-response regime, structural changes related to motifs distinct from that used to bias the system.
Cite
@article{arxiv.1712.08376,
title = {Structural Covariance in the Hard Sphere Fluid},
author = {Benjamin M. G. D. Carter and Francesco Turci and Pierre Ronceray and C. Patrick Royall},
journal= {arXiv preprint arXiv:1712.08376},
year = {2018}
}