Evidence map›Paper›PMID 33836583›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

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

Huaping Li, Yuliang Jin, Ying Jiang, Jeff Z Y Chen

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 2 countries.

Huaping LiSchool of Chemistry, Beihang University, Beijing 100191, China.ORCID 0000-0003-3730-1539
Yuliang JinInstitute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China; yuliangjin@mail.itp.ac.cn yjiang@buaa.edu.cn.ORCID 0000-0001-8310-4582
Ying JiangSchool of Chemistry, Beihang University, Beijing 100191, China; yuliangjin@mail.itp.ac.cn yjiang@buaa.edu.cn.ORCID 0000-0002-6041-2272
Jeff Z Y ChenDepartment of Physics and Astronomy, University of Waterloo, Waterloo, ON N2L 3G1, Canada.
Beihang University · CNChinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CNUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 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.

Indexed as

critical exponentsGardner transitionglassmachine learning

Identifiers

PMID33836583
PMCPMC7980390
OpenAlexW3133573369

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.