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Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/47833 Cómo citar
Título: A structure-preserving FEM for the uniaxially constrained Q-tensor model of nematic liquid crystals.
Autor: Borthagaray, Juan Pablo
Nochetto, Ricardo H.
Walker, Shawn W.
Tipo: Preprint
Palabras clave: Liquid crystals, Finite Element Method, Gamma-convergence, Landau-de Gennes, Defects
Fecha de publicación: 2019
Resumen: We consider the one-constant Landau - de Gennes model for nematic liquid crystals. The order parameter is a traceless tensor field Q, which is constrained to be uniaxial: Q=s(n⊗n−d−1I) where n is a director field, s∈R is the degree of orientation, and d≥2 is the dimension. Building on similarities with the one-constant Ericksen energy, we propose a structure-preserving finite element method for the computation of equilibrium configurations. We prove stability and consistency of the method without regularization, and Γ-convergence of the discrete energies towards the continuous one as the mesh size goes to zero. We design an alternating direction gradient flow algorithm for the solution of the discrete problems, and we show that such a scheme decreases the energy monotonically. Finally, we illustrate the method's capabilities by presenting some numerical simulations in two and three dimensions including non-orientable line fields.
Descripción: También publicado en Numerische Mathematik, vol. 145, no 4, 2020, pp. 837–881.
Editorial: arXiv
EN: Mathematics. Numerical Analysis (math.NA), arXiv:1911.04347v1, nov. 2019, pp. 1-30.
Financiadores: Juan Pablo Borthagaray ha sido financiado en parte por la beca DMS-1411808 de la NSF.
Citación: Borthagaray, J., Nochetto, R. y Walker, S. A structure-preserving FEM for the uniaxially constrained Q-tensor model of nematic liquid crystals. [Preprint]. Publicado en: Mathematics. Mathematics. Numerical Analysis (math.NA), 2019, pp. 1-30. arXiv:1911.04347v1.
Aparece en las colecciones: Publicaciones académicas y científicas - IMERL (Instituto de Matemática y Estadística Rafael Laguardia)

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