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On the Pseudo Phase Diagram of Single Semi-Flexible Polymer Chains: A Flat-Histogram Monte Carlo Study

Local stiffness of polymer chains is instrumental in all structure formation processes of polymers, from crystallization of synthetic polymers to protein folding and DNA compactification. We present Stochastic Approximation Monte Carlo simulations—a type of flat-histogram Monte Carlo method—determin...

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Detalles Bibliográficos
Autores principales: Werlich, Benno, Taylor, Mark P., Shakirov, Timur, Paul, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6432196/
https://www.ncbi.nlm.nih.gov/pubmed/30970714
http://dx.doi.org/10.3390/polym9020038
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author Werlich, Benno
Taylor, Mark P.
Shakirov, Timur
Paul, Wolfgang
author_facet Werlich, Benno
Taylor, Mark P.
Shakirov, Timur
Paul, Wolfgang
author_sort Werlich, Benno
collection PubMed
description Local stiffness of polymer chains is instrumental in all structure formation processes of polymers, from crystallization of synthetic polymers to protein folding and DNA compactification. We present Stochastic Approximation Monte Carlo simulations—a type of flat-histogram Monte Carlo method—determining the density of states of a model class of single semi-flexible polymer chains, and, from this, their complete thermodynamic behavior. The chains possess a rich pseudo phase diagram as a function of stiffness and temperature, displaying non-trivial ground-state morphologies. This pseudo phase diagram also depends on chain length. Differences to existing pseudo phase diagrams of semi-flexible chains in the literature emphasize the fact that the mechanism of stiffness creation matters.
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spelling pubmed-64321962019-04-02 On the Pseudo Phase Diagram of Single Semi-Flexible Polymer Chains: A Flat-Histogram Monte Carlo Study Werlich, Benno Taylor, Mark P. Shakirov, Timur Paul, Wolfgang Polymers (Basel) Article Local stiffness of polymer chains is instrumental in all structure formation processes of polymers, from crystallization of synthetic polymers to protein folding and DNA compactification. We present Stochastic Approximation Monte Carlo simulations—a type of flat-histogram Monte Carlo method—determining the density of states of a model class of single semi-flexible polymer chains, and, from this, their complete thermodynamic behavior. The chains possess a rich pseudo phase diagram as a function of stiffness and temperature, displaying non-trivial ground-state morphologies. This pseudo phase diagram also depends on chain length. Differences to existing pseudo phase diagrams of semi-flexible chains in the literature emphasize the fact that the mechanism of stiffness creation matters. MDPI 2017-01-25 /pmc/articles/PMC6432196/ /pubmed/30970714 http://dx.doi.org/10.3390/polym9020038 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
Werlich, Benno
Taylor, Mark P.
Shakirov, Timur
Paul, Wolfgang
On the Pseudo Phase Diagram of Single Semi-Flexible Polymer Chains: A Flat-Histogram Monte Carlo Study
title On the Pseudo Phase Diagram of Single Semi-Flexible Polymer Chains: A Flat-Histogram Monte Carlo Study
title_full On the Pseudo Phase Diagram of Single Semi-Flexible Polymer Chains: A Flat-Histogram Monte Carlo Study
title_fullStr On the Pseudo Phase Diagram of Single Semi-Flexible Polymer Chains: A Flat-Histogram Monte Carlo Study
title_full_unstemmed On the Pseudo Phase Diagram of Single Semi-Flexible Polymer Chains: A Flat-Histogram Monte Carlo Study
title_short On the Pseudo Phase Diagram of Single Semi-Flexible Polymer Chains: A Flat-Histogram Monte Carlo Study
title_sort on the pseudo phase diagram of single semi-flexible polymer chains: a flat-histogram monte carlo study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6432196/
https://www.ncbi.nlm.nih.gov/pubmed/30970714
http://dx.doi.org/10.3390/polym9020038
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