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Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases

A general computational method is introduced to estimate the Poisson’s ratio for membranes with small thickness. In this method, the Poisson’s ratio is calculated by utilizing a rescaling of inter-particle distances in one lateral direction under periodic boundary conditions. As an example for the c...

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Autores principales: Jadidi, Tayebeh, Seyyed-Allaei, Hamid, Tabar, M. Reza Rahimi, Mashaghi, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126470/
https://www.ncbi.nlm.nih.gov/pubmed/25152882
http://dx.doi.org/10.3389/fbioe.2014.00008
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author Jadidi, Tayebeh
Seyyed-Allaei, Hamid
Tabar, M. Reza Rahimi
Mashaghi, Alireza
author_facet Jadidi, Tayebeh
Seyyed-Allaei, Hamid
Tabar, M. Reza Rahimi
Mashaghi, Alireza
author_sort Jadidi, Tayebeh
collection PubMed
description A general computational method is introduced to estimate the Poisson’s ratio for membranes with small thickness. In this method, the Poisson’s ratio is calculated by utilizing a rescaling of inter-particle distances in one lateral direction under periodic boundary conditions. As an example for the coarse grained lipid model introduced by Lenz and Schmid, we calculate the Poisson’s ratio in the gel, fluid, and interdigitated phases. Having the Poisson’s ratio, enable us to obtain the Young’s modulus for the membranes in different phases. The approach may be applied to other membranes such as graphene and tethered membranes in order to predict the temperature dependence of its Poisson’s ratio and Young’s modulus.
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spelling pubmed-41264702014-08-22 Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases Jadidi, Tayebeh Seyyed-Allaei, Hamid Tabar, M. Reza Rahimi Mashaghi, Alireza Front Bioeng Biotechnol Bioengineering and Biotechnology A general computational method is introduced to estimate the Poisson’s ratio for membranes with small thickness. In this method, the Poisson’s ratio is calculated by utilizing a rescaling of inter-particle distances in one lateral direction under periodic boundary conditions. As an example for the coarse grained lipid model introduced by Lenz and Schmid, we calculate the Poisson’s ratio in the gel, fluid, and interdigitated phases. Having the Poisson’s ratio, enable us to obtain the Young’s modulus for the membranes in different phases. The approach may be applied to other membranes such as graphene and tethered membranes in order to predict the temperature dependence of its Poisson’s ratio and Young’s modulus. Frontiers Media S.A. 2014-04-22 /pmc/articles/PMC4126470/ /pubmed/25152882 http://dx.doi.org/10.3389/fbioe.2014.00008 Text en Copyright © 2014 Jadidi, Seyyed-Allaei, Tabar and Mashaghi. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Jadidi, Tayebeh
Seyyed-Allaei, Hamid
Tabar, M. Reza Rahimi
Mashaghi, Alireza
Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases
title Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases
title_full Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases
title_fullStr Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases
title_full_unstemmed Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases
title_short Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases
title_sort poisson’s ratio and young’s modulus of lipid bilayers in different phases
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126470/
https://www.ncbi.nlm.nih.gov/pubmed/25152882
http://dx.doi.org/10.3389/fbioe.2014.00008
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