English

Local Order Metrics for Two-Phase Media Across Length Scales

Soft Condensed Matter 2022-07-20 v1 Disordered Systems and Neural Networks

Abstract

The capacity to devise order metrics for microstructures of multiphase heterogeneous media is a highly challenging task, given the richness of the possible geometries and topologies of the phases that can arise. This investigation initiates a program to formulate order metrics to characterize the degree of order/disorder of the microstructures of two-phase media in dd-dimensional Euclidean space Rd\mathbb{R}^d across length scales. In particular, we propose the use of the local volume-fraction variance σV2(R)\sigma^2_{_V}(R) associated with a spherical window of radius RR as an order metric. We determine σV2(R)\sigma^2_{_V}(R) as a function of RR for 22 different models across the first three space dimensions, including both hyperuniform and nonhyperuniform systems with varying degrees of short- and long-range order. We find that the local volume-fraction variance as well as asymptotic coefficients and integral measures derived from it provide reasonably robust and sensitive order metrics to categorize disordered and ordered two-phase media across all length scales.

Keywords

Cite

@article{arxiv.2204.13088,
  title  = {Local Order Metrics for Two-Phase Media Across Length Scales},
  author = {Salvatore Torquato and Murray Skolnick and Jaeuk Kim},
  journal= {arXiv preprint arXiv:2204.13088},
  year   = {2022}
}