English

Hopping and the Stokes-Einstein relation breakdown in simple glass formers

Disordered Systems and Neural Networks 2014-10-24 v2 Statistical Mechanics

Abstract

One of the most actively debated issues in the study of the glass transition is whether a mean-field description is a reasonable starting point for understanding experimental glass formers. Although the mean-field theory of the glass transition -- like that of other statistical systems -- is exact when the spatial dimension dd\rightarrow\infty, the evolution of systems properties with dd may not be smooth. Finite-dimensional effects could dramatically change what happens in physical dimensions, d=2,3d=2,3. For standard phase transitions finite-dimensional effects are typically captured by renormalization group methods, but for glasses the corrections are much more subtle and only partially understood. Here, we investigate hopping between localized cages formed by neighboring particles in a model that allows to cleanly isolate that effect. By bringing together results from replica theory, cavity reconstruction, void percolation, and molecular dynamics, we obtain insights into how hopping induces a breakdown of the Stokes--Einstein relation and modifies the mean-field scenario in experimental systems. Although hopping is found to supersede the dynamical glass transition, it nonetheless leaves a sizable part of the critical regime untouched. By providing a constructive framework for identifying and quantifying the role of hopping, we thus take an important step towards describing dynamic facilitation in the framework of the mean-field theory of glasses.

Keywords

Cite

@article{arxiv.1407.5677,
  title  = {Hopping and the Stokes-Einstein relation breakdown in simple glass formers},
  author = {Patrick Charbonneau and Yuliang Jin and Giorgio Parisi and Francesco Zamponi},
  journal= {arXiv preprint arXiv:1407.5677},
  year   = {2014}
}

Comments

27 pages, 13 figures (including supplementary information) - final version accepted for publication on PNAS

R2 v1 2026-06-22T05:09:22.140Z