Building a “trap model” of glassy dynamics from a local structural predictor of rearrangements

Author:

Ridout S. A.ORCID,Tah I.ORCID,Liu A. J.

Abstract

Abstract Here we introduce a variation of the trap model of supercooled liquids based on softness, a particle-based variable identified by machine learning that quantifies the local structural environment and energy barrier for the particle to rearrange. As in the trap model, we assume that each particle's softness, and hence energy barrier, evolves independently. We show that our model makes qualitatively reasonable predictions of behaviors such as the dependence of fragility on density in a model supercooled liquid. We also show failures of the model, indicating in some cases signs that softness may be missing important information, and in other cases features that may only be explained by correlations neglected in the trap model.

Funder

Simons Foundation

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Solid-that-Flows Picture of Glass-Forming Liquids;The Journal of Physical Chemistry Letters;2024-02-02

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