Poisson’s Ratio and Young’s Modulus of Lipid Bilayers in Different Phases
Tayebeh Jadidi, Hamid Seyyed-Allaei, M. Reza Rahimi Tabar, Alireza Mashaghi
Abstract
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Tayebeh Jadidi, Hamid Seyyed-Allaei, M. Reza Rahimi Tabar, Alireza Mashaghi
Abstract
Open-access reader
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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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.
Key concepts: Poisson distribution, Poisson's ratio, Modulus, Membrane, Young's modulus, Materials science, Graphene, Mathematics