Mean-Field Nematic--Smectic-{\sl A} Transition in a Random Polymer Network
Peter D. Olmsted (Univerisity of Michigan), Eugene M. Terentjev, (Cavendish Laboratory, Cambridge University)

TL;DR
This paper investigates how the network in liquid crystal elastomers influences the nematic--smectic-A transition, predicting modifications such as transition temperature shifts, suppression of fluctuation effects, and the emergence of a tri-critical point.
Contribution
It introduces a mean-field theoretical framework incorporating network effects as a random field, revealing new transition behaviors and critical points in liquid crystal elastomers.
Findings
Transition temperature $T_{NA}$ is shifted by network effects.
Suppression of the HLM fluctuation effect leads to a mean-field continuous transition.
A tri-critical point emerges depending on network formation conditions.
Abstract
Liquid crystal elastomers present a rich combination of effects associated with orientational symmetry breaking and the underlying rubber elasticity. In this work we focus on the effect of the network on the nematic--smectic-{\sl A} transition, exploring the additional translational symmetry breaking in these elastomers. We incorporate the crosslinks as a random field in a microscopic picture, thus expressing the degree to which the smectic order is locally frozen with respect to the network. We predict a modification of the NA transition, notably that it can be treated at the mean-field level (type-I system), due to the coupling with elastic degrees of freedom. There is a shift in the transition temperature , a suppression of the Halperin-Lubensky-Ma (HLM) effect (thus recovering the mean-field continuous transition to the smectic state), and a new…
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