Eigenvector Centrality is a Metric of Elastomer Modulus, Heterogeneity, and Damage

Abstract We present an application of eigenvector centrality to encode the connectivity of polymer networks resolved at the micro- and meso-scopic length scales. This method captures the relative importance of different nodes within the network structure and provides a route toward the development o...

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Autores principales: P. M. Welch, C. F. Welch
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/271d14e346a14c28a1973d33f83fd8bf
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spelling oai:doaj.org-article:271d14e346a14c28a1973d33f83fd8bf2021-12-02T12:32:16ZEigenvector Centrality is a Metric of Elastomer Modulus, Heterogeneity, and Damage10.1038/s41598-017-00818-02045-2322https://doaj.org/article/271d14e346a14c28a1973d33f83fd8bf2017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00818-0https://doaj.org/toc/2045-2322Abstract We present an application of eigenvector centrality to encode the connectivity of polymer networks resolved at the micro- and meso-scopic length scales. This method captures the relative importance of different nodes within the network structure and provides a route toward the development of a statistical mechanics model that correlates connectivity with mechanical response. This scheme may be informed by analytical and semi-analytical models for the network structure, or through direct experimental examination. It may be used to predict the reduction in mechanical performance for heterogeneous materials subjected to specific modes of damage. Here, we develop the method and demonstrate that it leads to the prediction of established trends in elastomers. We also apply the model to the case of a self-healing polymer network reported in the literature, extracting insight about the fraction of bonds broken and re-formed during strain and recovery.P. M. WelchC. F. WelchNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
P. M. Welch
C. F. Welch
Eigenvector Centrality is a Metric of Elastomer Modulus, Heterogeneity, and Damage
description Abstract We present an application of eigenvector centrality to encode the connectivity of polymer networks resolved at the micro- and meso-scopic length scales. This method captures the relative importance of different nodes within the network structure and provides a route toward the development of a statistical mechanics model that correlates connectivity with mechanical response. This scheme may be informed by analytical and semi-analytical models for the network structure, or through direct experimental examination. It may be used to predict the reduction in mechanical performance for heterogeneous materials subjected to specific modes of damage. Here, we develop the method and demonstrate that it leads to the prediction of established trends in elastomers. We also apply the model to the case of a self-healing polymer network reported in the literature, extracting insight about the fraction of bonds broken and re-formed during strain and recovery.
format article
author P. M. Welch
C. F. Welch
author_facet P. M. Welch
C. F. Welch
author_sort P. M. Welch
title Eigenvector Centrality is a Metric of Elastomer Modulus, Heterogeneity, and Damage
title_short Eigenvector Centrality is a Metric of Elastomer Modulus, Heterogeneity, and Damage
title_full Eigenvector Centrality is a Metric of Elastomer Modulus, Heterogeneity, and Damage
title_fullStr Eigenvector Centrality is a Metric of Elastomer Modulus, Heterogeneity, and Damage
title_full_unstemmed Eigenvector Centrality is a Metric of Elastomer Modulus, Heterogeneity, and Damage
title_sort eigenvector centrality is a metric of elastomer modulus, heterogeneity, and damage
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/271d14e346a14c28a1973d33f83fd8bf
work_keys_str_mv AT pmwelch eigenvectorcentralityisametricofelastomermodulusheterogeneityanddamage
AT cfwelch eigenvectorcentralityisametricofelastomermodulusheterogeneityanddamage
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