气候变化领域集成服务门户(CCPortal): Determining the nonequilibrium criticality of a Gardner transition via a hybrid study of molecular simulations and machine learning

CCPortal

DOI	10.1073/pnas.2017392118
	Determining the nonequilibrium criticality of a Gardner transition via a hybrid study of molecular simulations and machine learning
	Li H.; Jin Y.; Jiang Y.; Chen J.Z.Y.
发表日期	2021
ISSN	00278424
卷号	118 期号:11
英文摘要	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 the critical exponents that traditional methods fail to estimate. Our study provides an approach that is useful to understand the nature of glass transitions and can be generalized to analyze other nonequilibrium phase transitions. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Critical exponents; Gardner transition; Glass; Machine learning
语种	英语
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/180226
作者单位	School of Chemistry, Beihang University, Beijing, 100191, China; Center of Soft Matter Physics and Its Applications, Beihang University, Beijing, 100191, China; Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, 325000, China; Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing, 100190, China; School of Physical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China; Department of Physics and Astronomy, University of Waterloo, Waterloo, ON N2L 3G1, Canada
推荐引用方式 GB/T 7714	Li H.,Jin Y.,Jiang Y.,et al. Determining the nonequilibrium criticality of a Gardner transition via a hybrid study of molecular simulations and machine learning[J],2021,118(11).
APA	Li H.,Jin Y.,Jiang Y.,&Chen J.Z.Y..(2021).Determining the nonequilibrium criticality of a Gardner transition via a hybrid study of molecular simulations and machine learning.Proceedings of the National Academy of Sciences of the United States of America,118(11).
MLA	Li H.,et al."Determining the nonequilibrium criticality of a Gardner transition via a hybrid study of molecular simulations and machine learning".Proceedings of the National Academy of Sciences of the United States of America 118.11(2021).