Glass-like Caging with Random Planes

Author:

Gilles Bonnet, Patrick Charbonneau, Giampaolo Folena

Keyword:

Condensed Matter, Disordered Systems and Neural Networks, Disordered Systems and Neural Networks (cond-mat.dis-nn)

journal:

date:

2023-08-02 16:00:00

Abstract

The richness of the mean-field solution of simple glasses leaves many of its features challenging to interpret. A minimal model that illuminates glass physics the same way the random energy model clarifies spin glass behavior would therefore be beneficial. Here, we propose such a real-space model that is amenable to infinite-dimensional analysis and is exactly solvable at high and low densities in finite dimension. By joining analysis with numerical simulations, we uncover geometrical signatures of the dynamical and jamming transitions and provides insight into the origin of activated processes. Translating these findings to the context of standard glass formers further reveals the role played by non-convexity in the emergence of Gardner physics.

PDF: Glass-like Caging with Random Planes.pdf