Free energy formulas for confined nematic liquid crystals based on analogies with Kirchhoff-Routh theory in vortex dynamics

TL;DR

This paper introduces analytical free energy formulas for confined nematic liquid crystals with multiple topological defects, inspired by vortex dynamics, enabling efficient defect localization and stability analysis.

Contribution

It derives explicit formulas analogous to Kirchhoff-Routh functions for defect energy calculation, improving computational efficiency and enabling analytical defect position determination.

Findings

Formulas accurately predict defect locations in confined geometries.

Stability analysis identifies stable and unstable defect configurations.

Results match experimental observations.

Abstract

Active nematics are influenced by alignment angle singularities called topological defects. The localization of these defects is of major interest for biological applications. The total distortion of alignment angles due to defects is evaluated using Frank free energy, which is one of the criteria used to determine the location and stability of these defects. Previous work used the line integrals of a complex potential associated with the alignments for the energy calculation (Miyazako and Nara, R. Soc. Open Sci., 2022), which has a high computational cost. We propose analytical formulas for the free energy in the presence of multiple topological defects in confined geometries. The formulas derived here are an analogue of Kirchhoff-Routh functions in vortex dynamics. The proposed formulas are explicit with respect to the defect locations and conformal maps, which enables the explicit calculation of the energy extrema. The formulas are applied to calculate the locations of defects in so-called doublets and triplets by solving simple polynomial formulas. A stability analysis is also conducted to detect whether defect pairs with charges $\pm 1/2$ are stable or unstable in triplet regions. Our numerical results are shown to match the experimental results (Ienaga {\em et al.,} Soft Matter, 2023).