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Dynamics of Dual Scale-Free Polymer Networks

We focus on macromolecules which are modeled as sequentially growing dual scale-free networks. The dual networks are built by replacing star-like units of the primal treelike scale-free networks through rings, which are then transformed in a small-world manner up to the complete graphs. In this resp...

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Autores principales: Galiceanu, Mircea, Tota de Carvalho, Luan, Mülken, Oliver, Dolgushev, Maxim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418598/
https://www.ncbi.nlm.nih.gov/pubmed/30965880
http://dx.doi.org/10.3390/polym9110577
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author Galiceanu, Mircea
Tota de Carvalho, Luan
Mülken, Oliver
Dolgushev, Maxim
author_facet Galiceanu, Mircea
Tota de Carvalho, Luan
Mülken, Oliver
Dolgushev, Maxim
author_sort Galiceanu, Mircea
collection PubMed
description We focus on macromolecules which are modeled as sequentially growing dual scale-free networks. The dual networks are built by replacing star-like units of the primal treelike scale-free networks through rings, which are then transformed in a small-world manner up to the complete graphs. In this respect, the parameter [Formula: see text] describing the degree distribution in the primal treelike scale-free networks regulates the size of the dual units. The transition towards the networks of complete graphs is controlled by the probability p of adding a link between non-neighboring nodes of the same initial ring. The relaxation dynamics of the polymer networks is studied in the framework of generalized Gaussian structures by using the full eigenvalue spectrum of the Laplacian matrix. The dynamical quantities on which we focus here are the averaged monomer displacement and the mechanical relaxation moduli. For several intermediate values of the parameters’ set [Formula: see text] , we encounter for these dynamical properties regions of constant in-between slope.
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spelling pubmed-64185982019-04-02 Dynamics of Dual Scale-Free Polymer Networks Galiceanu, Mircea Tota de Carvalho, Luan Mülken, Oliver Dolgushev, Maxim Polymers (Basel) Article We focus on macromolecules which are modeled as sequentially growing dual scale-free networks. The dual networks are built by replacing star-like units of the primal treelike scale-free networks through rings, which are then transformed in a small-world manner up to the complete graphs. In this respect, the parameter [Formula: see text] describing the degree distribution in the primal treelike scale-free networks regulates the size of the dual units. The transition towards the networks of complete graphs is controlled by the probability p of adding a link between non-neighboring nodes of the same initial ring. The relaxation dynamics of the polymer networks is studied in the framework of generalized Gaussian structures by using the full eigenvalue spectrum of the Laplacian matrix. The dynamical quantities on which we focus here are the averaged monomer displacement and the mechanical relaxation moduli. For several intermediate values of the parameters’ set [Formula: see text] , we encounter for these dynamical properties regions of constant in-between slope. MDPI 2017-11-04 /pmc/articles/PMC6418598/ /pubmed/30965880 http://dx.doi.org/10.3390/polym9110577 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Galiceanu, Mircea
Tota de Carvalho, Luan
Mülken, Oliver
Dolgushev, Maxim
Dynamics of Dual Scale-Free Polymer Networks
title Dynamics of Dual Scale-Free Polymer Networks
title_full Dynamics of Dual Scale-Free Polymer Networks
title_fullStr Dynamics of Dual Scale-Free Polymer Networks
title_full_unstemmed Dynamics of Dual Scale-Free Polymer Networks
title_short Dynamics of Dual Scale-Free Polymer Networks
title_sort dynamics of dual scale-free polymer networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6418598/
https://www.ncbi.nlm.nih.gov/pubmed/30965880
http://dx.doi.org/10.3390/polym9110577
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