Probing excitations and cooperatively rearranging regions in deeply supercooled liquids

Levke Ortlieb, Trond S. Ingebrigtsen, James E. Hallett, Francesco Turci, C. Patrick Royall

Research output: Contribution to journalArticle (Academic Journal)peer-review

4 Citations (Scopus)

Abstract

Upon approaching the glass transition, the relaxation of supercooled liquids is controlled by activated processes, which become dominant at temperatures below the so-called dynamical crossover predicted by Mode Coupling theory (MCT). Two of the main frameworks rationalising this behaviour are dynamic facilitation theory (DF) and the thermodynamic scenario which give equally good descriptions of the available data. Only particle-resolved data from liquids supercooled below the MCT crossover can reveal the microscopic mechanism of relaxation. By employing state-of-the-art GPU simulations and nano-particle resolved colloidal experiments, we identify the elementary units of relaxation in deeply supercooled liquids. Focusing on the excitations of DF and cooperatively rearranging regions (CRRs) implied by the thermodynamic scenario, we find that several predictions of both hold well below the MCT crossover: for the elementary excitations, their density follows a Boltzmann law, and their timescales converge at low temperatures. For CRRs, the decrease in bulk configurational entropy is accompanied by the increase of their fractal dimension. While the timescale of excitations remains microscopic, that of CRRs tracks a timescale associated with dynamic heterogeneity, t∗∼τ0.8α
. This timescale separation of excitations and CRRs opens the possibility of accumulation of excitations giving rise to cooperative behaviour leading to CRRs.
Original languageEnglish
Article number2621
JournalNature Communications
Volume14
Issue number1
DOIs
Publication statusPublished - 5 May 2023

Bibliographical note

Funding Information:
We thank Ludovic Berthier, Giulio Biroli, Jeppe Dyre, Paola Gallo, Rob Jack, Walther Kob, Andrea Liu, Itamar Procaccia, Camille Scalliet, Shiladitya Sengupta, Perfrancesco Urbani and Matthieu Wyart for insightful suggestions and discussions. CPR and FT acknowledge the European Research Council (ERC consolidator grant NANOPRS, project 617266) and the EPSRC (EP/H022333/1) for financial support. CPR acknowledges the ANR project DiViNew for financial support. T.S.I. is supported by the VILLUM Foundation”s Matter grant (No. 16515).

Publisher Copyright:
© 2023, The Author(s).

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