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

Jadidi T, Seyyed-Allaei H, Tabar MR, Mashaghi A - Front Bioeng Biotechnol (2014)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Physics, University of Osnabrück , Osnabrück , Germany.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Interactions applied in the model.
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Figure 1: Interactions applied in the model.

Mentions: Monte Carlo simulations of lipid bilayers with periodic boundary conditions in lateral directions were carried out for the coarse grained model introduced by Lenz and Schmid (2005). In this model, single-tail amphiphiles are considered, which are represented by six tail beads and one slightly larger head bead (with a size ratio of 1–1.1). Beads belonging to one molecule are connected via finitely extensible non-linear elastic (FENE) springs (Grest and Kremer, 1986) with a bond stretching potential Figure 1:(1)VFENEr=−υFENE2Δrm2log1−r−r0Δrm2


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

Jadidi T, Seyyed-Allaei H, Tabar MR, Mashaghi A - Front Bioeng Biotechnol (2014)

Interactions applied in the model.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4126470&req=5

Figure 1: Interactions applied in the model.
Mentions: Monte Carlo simulations of lipid bilayers with periodic boundary conditions in lateral directions were carried out for the coarse grained model introduced by Lenz and Schmid (2005). In this model, single-tail amphiphiles are considered, which are represented by six tail beads and one slightly larger head bead (with a size ratio of 1–1.1). Beads belonging to one molecule are connected via finitely extensible non-linear elastic (FENE) springs (Grest and Kremer, 1986) with a bond stretching potential Figure 1:(1)VFENEr=−υFENE2Δrm2log1−r−r0Δrm2

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Physics, University of Osnabrück , Osnabrück , Germany.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus