Nonlinear Methods for Shape Optimization Problems in Liquid Crystal Tactoids

Fuente: arXiv
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Autores principales: Adler, James H., Andrei, Anca S., Atherton, Timothy J.
Formato: Preprint
Publicado: 2023
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author Adler, James H.
Andrei, Anca S.
Atherton, Timothy J.
author_facet Adler, James H.
Andrei, Anca S.
Atherton, Timothy J.
contents Anisotropic fluids, such as nematic liquid crystals, can form non-spherical equilibrium shapes known as tactoids. Predicting the shape of these structures as a function of material parameters is challenging and paradigmatic of a broader class of problems that combine shape and order. Here, we consider a discrete shape optimization approach with finite elements to find the configuration of two-dimensional and three-dimensional tactoids using the Landau--de Gennes framework and a Q-tensor representation. Efficient solution of the resulting constrained energy minimization problem is achieved using a quasi-Newton and nested iteration algorithm. Numerical validation is performed with benchmark solutions and compared against experimental data and earlier work. We explore physically motivated subproblems, whereby the shape and order are separately held fixed, respectively, to explore the role of both and examine material parameter dependence of the convergence. Nested iteration significantly improves both the computational cost and convergence of numerical solutions of these highly deformable materials.
format Preprint
id arxiv_https___arxiv_org_abs_2310_04022
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Nonlinear Methods for Shape Optimization Problems in Liquid Crystal Tactoids
Adler, James H.
Andrei, Anca S.
Atherton, Timothy J.
Numerical Analysis
76A15, 49M15, 65N30, 65N22, 65N55, 65K10
Anisotropic fluids, such as nematic liquid crystals, can form non-spherical equilibrium shapes known as tactoids. Predicting the shape of these structures as a function of material parameters is challenging and paradigmatic of a broader class of problems that combine shape and order. Here, we consider a discrete shape optimization approach with finite elements to find the configuration of two-dimensional and three-dimensional tactoids using the Landau--de Gennes framework and a Q-tensor representation. Efficient solution of the resulting constrained energy minimization problem is achieved using a quasi-Newton and nested iteration algorithm. Numerical validation is performed with benchmark solutions and compared against experimental data and earlier work. We explore physically motivated subproblems, whereby the shape and order are separately held fixed, respectively, to explore the role of both and examine material parameter dependence of the convergence. Nested iteration significantly improves both the computational cost and convergence of numerical solutions of these highly deformable materials.
title Nonlinear Methods for Shape Optimization Problems in Liquid Crystal Tactoids
topic Numerical Analysis
76A15, 49M15, 65N30, 65N22, 65N55, 65K10
url https://arxiv.org/abs/2310.04022