Determining the nonequilibrium criticality of a Gardner transition via a hybrid study of molecular simulations and machine learning.

ABSTRACT: Apparent critical phenomena, typically indicated by growing correlation lengths and dynamical slowing down, are ubiquitous in nonequilibrium systems such as supercooled liquids, amorphous solids, active matter, and spin glasses. It is often challenging to determine if such observations are related to a true second-order phase transition as in the equilibrium case or simply a crossover and even more so to measure the associated critical exponents. Here we show that the simulation results of a hard-sphere glass in three dimensions are consistent with the recent theoretical prediction of a Gardner transition, a continuous nonequilibrium phase transition. Using a hybrid molecular simulation-machine learning approach, we obtain scaling laws for both finite-size and aging effects and determine t

SUBMITTER: Li H 

PROVIDER: S-EPMC7980390 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature