Evidence map›Paper›PMID 37585467›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Dynamical heterogeneity in active glasses is inherently different from its equilibrium behavior.

Kallol Paul, Anoop Mutneja, Saroj Kumar Nandi, Smarajit Karmakar

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Scaling the glassy dynamics of active particles: Tunable fragility and reentrance.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Active doping controls the mode of failure in dense colloidal gels.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kallol Paul *Tata Institute of Fundamental Research Center for Interdisciplinary Science, Hyderabad 500046, Telangana, India.
Anoop Mutneja *Tata Institute of Fundamental Research Center for Interdisciplinary Science, Hyderabad 500046, Telangana, India.ORCID 0000-0002-5632-3867
Saroj Kumar NandiTata Institute of Fundamental Research Center for Interdisciplinary Science, Hyderabad 500046, Telangana, India.ORCID 0000-0003-0977-1947
Smarajit KarmakarTata Institute of Fundamental Research Center for Interdisciplinary Science, Hyderabad 500046, Telangana, India.ORCID 0000-0002-5653-6328

Funding

Department of Atomic Energy, Government of India (DAE) RTI 4007Department of Science and Technology, Ministry of Science and Technology, India (DST) DST/SJF/PSA-01/2018-19DST | Science and Engineering Research Board (SERB) SB/SFJ/2019-20/05DST | Science and Engineering Research Board (SERB) SRG/2021/002014
6 · The paper itself

Abstract

Activity-driven glassy dynamics, while ubiquitous in collective cell migration, intracellular transport, dynamics in bacterial and ant colonies, etc., also extends the scope and extent of the as-yet mysterious physics of glass transition. Active glasses are hitherto assumed to be qualitatively similar to their equilibrium counterparts at an effective temperature, [Formula: see text]. Here, we combine large-scale simulations and an analytical mode-coupling theory (MCT) for such systems and show that, in fact, an active glass is inherently different from an equilibrium glass. Although the relaxation dynamics can be equilibrium-like at a [Formula: see text], effects of activity on the dynamic heterogeneity (DH), which is a hallmark of glassy dynamics, are quite nontrivial and complex. With no preexisting data, we employ four distinct methods for reliable estimates of the DH length scales. Our work shows that active glasses exhibit dramatic growth of DH and systems with similar relaxation times, and thus, [Formula: see text] can have widely varying DH. To theoretically study DH, we extend active MCT and find good qualitative agreement between the theory and simulation results. Our results pave avenues for understanding the role of DH in glassy dynamics and can have fundamental significance even in equilibrium.

Indexed as

activitydynamic heterogeneitydynamic length scalefour-point susceptibilitymode coupling theory

Identifiers

PMID37585467
PMCPMC10450852

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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.