Graph theory based approach to identify phase transitions in condensed matter

We put forward a methodology to identify phase transitions in condensed matter without the need to rely on any preexisting physical background. Specifically, we use graph limit theory to construct order parameters that leverage the outcomes of molecular dynamics simulations. We apply this approach to investigate the phase transitions of a Lennard-Jones system and the glass-forming ability of the Kob-Andersen binary Lennard-Jones mixture. This methodology rigorously links graph limit theory, a cutting-edge field in combinatorial mathematics, with condensed matter physics.

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Publication Details

Journal
Physical review. B./Physical review. B
Published
2025-02-26
DOI
https://doi.org/10.1103/physrevb.111.054116
Citations
1
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
1.32

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article

Graph theory based approach to identify phase transitions in condensed matter

Gabriele C. Sosso, An Wang
1 citations
Physical review. B./Physical review. B
Advanced Thermodynamics and Statistical Mechanics
1.32
article

Graph theory based approach to identify phase transitions in condensed matter

Gabriele C. Sosso, An Wang
article en
1 citations

Abstract

We put forward a methodology to identify phase transitions in condensed matter without the need to rely on any preexisting physical background. Specifically, we use graph limit theory to construct order parameters that leverage the outcomes of molecular dynamics simulations. We apply this approach to investigate the phase transitions of a Lennard-Jones system and the glass-forming ability of the Kob-Andersen binary Lennard-Jones mixture. This methodology rigorously links graph limit theory, a cutting-edge field in combinatorial mathematics, with condensed matter physics.

Physical review. B./Physical review. BVol. 111(5)
University of Warwick (GB)
University of Warwick
Openalex Percentile: Top 22%
Advanced Thermodynamics and Statistical Mechanics
1.32
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