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Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/47717 Cómo citar
Título: The Q-tensor model with uniaxial constraint.
Autor: Borthagaray, Juan Pablo
Walker, Shawn W.
Tipo: Preprint
Palabras clave: Numerical Analysis
Fecha de publicación: 2020
Resumen: This chapter is about the modeling of nematic liquid crystals (LCs) and their numerical simulation. We begin with an overview of the basic physics of LCs and discuss some of their many applications. Next, we delve into the modeling arguments needed to obtain macroscopic order parameters which can be used to formulate a continuum model. We then survey different continuum descriptions, namely the Oseen-Frank, Ericksen, and Landau-deGennes (Q-tensor) models, which essentially model the LC material like an anisotropic elastic material. In particular, we review the mathematical theory underlying the three different continuum models and highlight the different trade-offs of using these models. Next, we consider the numerical simulation of these models with a survey of various methods, with a focus on the Ericksen model. We then show how techniques from the Ericksen model can be combined with the Landau-deGennes model to yield a Q-tensor model that exactly enforces uniaxiality, which is relevant for modeling many nematic LC systems. This is followed by an in-depth numerical analysis, using tools from Γ-convergence, to justify our discrete method. We also show several numerical experiments and comparisons with the standard Landau-deGennes model.
Descripción: También publicado en Handbook of Numerical Analysis, vol. 22, 2021, pp 313-382. DOI: 10.1016/bs.hna.2020.09.001.
Editorial: arXiv
EN: Mathematics. Numerical Analysis (math.NA), arXiv:2001.03198v1, jan. 2020, pp. 1-59.
Financiadores: Juan Pablo Borthagaray ha sido financiado en parte por la beca NSF DMS-1411808.
Citación: Borthagaray, J. y Walker, S. The Q-tensor model with uniaxial constraint. [Preprint]. Publicado en: Mathematics. Numerical Analysis (math.NA), 2020, pp. 1-59. arXiv:2001.03198v1.
Aparece en las colecciones: Publicaciones académicas y científicas - IMERL (Instituto de Matemática y Estadística Rafael Laguardia)

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