Evidence map›Paper›PMID 34231080›Full record

ArticleThe European physical journal. E, Soft matter2021

Multi-component generalized mode-coupling theory: predicting dynamics from structure in glassy mixtures.

Simone Ciarella, Chengjie Luo, Vincent E Debets, Liesbeth M C Janssen

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Article in The European physical journal. E, Soft matter, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Simone Ciarella *Soft Matter and Biological Physics, Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600, MB, Eindhoven, The Netherlands. simoneciarella@gmail.com.ORCID http://orcid.org/0000-0002-9247-139X
Chengjie Luo *Soft Matter and Biological Physics, Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600, MB, Eindhoven, The Netherlands.
Vincent E Debets *Soft Matter and Biological Physics, Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600, MB, Eindhoven, The Netherlands.
Liesbeth M C JanssenSoft Matter and Biological Physics, Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600, MB, Eindhoven, The Netherlands.ORCID http://orcid.org/0000-0001-5283-1330

Funding

Dutch Research Council (NWO) Start-Up and Vidi grant
6 · The paper itself

Abstract

The emergence of glassy dynamics and the glass transition in dense disordered systems is still not fully understood theoretically. Mode-coupling theory (MCT) has shown to be effective in describing some of the non-trivial features of glass formation, but it cannot explain the full glassy phenomenology due to the strong approximations on which it is based. Generalized mode-coupling theory (GMCT) is a hierarchical extension of the theory, which is able to outclass MCT by carefully describing the dynamics of higher-order correlations in its generalized framework. Unfortunately, the theory has so far only been developed for single-component systems and as a result works poorly for highly polydisperse materials. In this paper, we solve this problem by developing GMCT for multi-component systems. We use it to predict the glassy dynamics of the binary Kob-Andersen Lennard-Jones mixture, as well as its purely repulsive Weeks-Chandler-Andersen analogue. Our results show that each additional level of the GMCT hierarchy gradually improves the predictive power of GMCT beyond its previous limit. This implies that our theory is able to harvest more information from the static correlations, thus being able to better understand the role of attraction in supercooled liquids from a first-principles perspective.

Identifiers

PMID34231080
PMCPMC8260512

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