Literature DB >> 25241966

Structural relaxation in glassy polymers predicted by soft modes: a quantitative analysis.

Anton Smessaert1, Jörg Rottler.   

Abstract

We present a quantitative analysis of the correlation between quasi-localized, low energy vibrational modes and structural relaxation events in computer simulations of a quiescent, thermal polymer glass. Our results extend previous studies on glass forming binary mixtures in 2D, and show that the soft modes identify regions that undergo irreversible rearrangements with up to 7 times the average probability. We study systems in the supercooled- and aging-regimes and discuss temperature- as well as age-dependence of the correlation. In addition to the location of rearrangements, we find that soft modes also predict their direction on the molecular level. The soft regions are long lived structural features, and the observed correlations vanish only after >50% of the system has undergone rearrangements.

Entities:  

Year:  2014        PMID: 25241966     DOI: 10.1039/c4sm01438c

Source DB:  PubMed          Journal:  Soft Matter        ISSN: 1744-683X            Impact factor:   3.679


  1 in total

1.  Soft Vibrational Modes Predict Breaking Events during Force-Induced Protein Unfolding.

Authors:  Mona Habibi; Steven S Plotkin; Jörg Rottler
Journal:  Biophys J       Date:  2018-02-06       Impact factor: 4.033

  1 in total

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