Literature DB >> 17994996

Structure and dynamics of glass formers: predictability at large length scales.

Ludovic Berthier1, Robert L Jack.   

Abstract

Dynamic heterogeneity in glass formers has been related to their static structure using the concept of dynamic propensity. We reexamine this relationship by analyzing dynamical fluctuations in two atomistic glass formers and two theoretical models. We introduce quantitative statistical indicators which show that the dynamics of individual particles cannot be predicted on the basis of the propensity or by any structural indicator. However, the spatial structure of the propensity field does have predictive power for the spatial correlations associated with dynamic heterogeneity. Our results suggest that the quest for a connection between the static and dynamic properties of glass formers at the particle level is in vain, but they demonstrate that such a connection does exist on larger length scales.

Year:  2007        PMID: 17994996     DOI: 10.1103/PhysRevE.76.041509

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  8 in total

1.  Correlation between dynamical heterogeneities, structure and potential-energy distribution in a 2D amorphous solid.

Authors:  S Mazoyer; F Ebert; G Maret; P Keim
Journal:  Eur Phys J E Soft Matter       Date:  2011-09-26       Impact factor: 1.890

2.  Field theory of fluctuations in glasses.

Authors:  S Franz; G Parisi; F Ricci-Tersenghi; T Rizzo
Journal:  Eur Phys J E Soft Matter       Date:  2011-09-26       Impact factor: 1.890

3.  Local thermal energy as a structural indicator in glasses.

Authors:  Jacques Zylberg; Edan Lerner; Yohai Bar-Sinai; Eran Bouchbinder
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-27       Impact factor: 11.205

4.  Roles of icosahedral and crystal-like order in the hard spheres glass transition.

Authors:  Mathieu Leocmach; Hajime Tanaka
Journal:  Nat Commun       Date:  2012-07-24       Impact factor: 14.919

5.  Disconnecting structure and dynamics in glassy thin films.

Authors:  Daniel M Sussman; Samuel S Schoenholz; Ekin D Cubuk; Andrea J Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-19       Impact factor: 11.205

6.  Mutual information reveals multiple structural relaxation mechanisms in a model glass former.

Authors:  Andrew J Dunleavy; Karoline Wiesner; Ryoichi Yamamoto; C Patrick Royall
Journal:  Nat Commun       Date:  2015-01-22       Impact factor: 14.919

7.  Structural order as a genuine control parameter of dynamics in simple glass formers.

Authors:  Hua Tong; Hajime Tanaka
Journal:  Nat Commun       Date:  2019-12-06       Impact factor: 14.919

8.  Neural Networks Reveal the Impact of the Vibrational Dynamics in the Prediction of the Long-Time Mobility of Molecular Glassformers.

Authors:  Antonio Tripodo; Gianfranco Cordella; Francesco Puosi; Marco Malvaldi; Dino Leporini
Journal:  Int J Mol Sci       Date:  2022-08-18       Impact factor: 6.208

  8 in total

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