Characterizing structural features of two-dimensional particle systems through Voronoi topology
Emanuel A. Lazar, Jiayin Lu, Chris H. Rycroft, Deborah Schwarcz

TL;DR
This paper presents a novel Voronoi topology-based method for analyzing local structures and defects in two-dimensional particle systems, with an open-source software implementation capable of handling large-scale data.
Contribution
It introduces a new Voronoi topology approach for structural characterization and integrates it into VoroTop software, enabling large-scale analysis of 2D particle systems.
Findings
Accurately identifies defects in high-temperature crystals
Distinguishes various disordered systems
Describes complex structures like grain boundaries
Abstract
This paper introduces a new approach toward characterizing local structural features of two-dimensional particle systems. The approach can accurately identify and characterize defects in high-temperature crystals, distinguish a wide range of nominally disordered systems, and robustly describe complex structures such as grain boundaries. This paper also introduces two-dimensional functionality into the open-source software program VoroTop which automates this analysis. This software package is built on a recently-introduced multithreaded version of VORO++, enabling the analysis of systems with billions of particles on high-performance computer architectures.
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Taxonomy
TopicsDigital Image Processing Techniques
