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Order-disorder molecular model of the smectic- A–smectic-C phase transition in materials with conventional and anomalously weak layer contraction

Gorkunov, M.V. and Osipov, Mikhail and Lagerwall, J.P.F. and Glesselmann, F. (2007) Order-disorder molecular model of the smectic- A–smectic-C phase transition in materials with conventional and anomalously weak layer contraction. Physical Review E, 76 (5).

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Abstract

We develop a molecular-statistical theory of the smectic-A–smectic-C transition which is described as a transition of the order-disorder type. The theory is based on a general expansion of the effective interaction potential and employs a complete set of orientational order parameters. All the order parameters of the smectic-C phase including the tilt angle are calculated numerically as functions of temperature for a number of systems which correspond to different transition scenario. The effective interaction potential and the parameters of the transition are also calculated for specific molecular models based on electrostatic and induction interaction between molecular dipoles. The theory successfully reproduces the main properties of both conventional and so-called “de Vries–type” smectic liquid crystals, clarifies the origin of the anomalously weak layer contraction and describes the tricritical behavior at the smectic-A–smectic-C transition. The “de Vries behavior,” i.e., anomalously weak layer contraction is also obtained for a particular molecular model based on interaction between longitudinal molecular dipoles. A simple phenomenological model is presented enabling one to obtain explicit expressions for the layer spacing and the tilt angle which are used to fit the experimental data for a number of materials.

Item type: Article
ID code: 30088
Keywords: phase transition , liquid crystals, orientational order parameters , molecular dipoles, Probabilities. Mathematical statistics, Statistical and Nonlinear Physics, Statistics and Probability, Condensed Matter Physics
Subjects: Science > Mathematics > Probabilities. Mathematical statistics
Department: Faculty of Science > Mathematics and Statistics
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Depositing user: Pure Administrator
Date Deposited: 10 May 2011 15:07
Last modified: 28 Mar 2014 05:32
URI: http://strathprints.strath.ac.uk/id/eprint/30088

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