General application of the genetic algorithm to the estimation of the Liquid Crystal Director in PA-LC devices
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Título: | General application of the genetic algorithm to the estimation of the Liquid Crystal Director in PA-LC devices |
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Autor/es: | Colomina-Martínez, Jaume | Sirvent-Verdú, Joan Josep | Pérez-Bernabeu, Andrés | Lloret, Tomás | Nieto-Rodríguez, Belén | Neipp, Cristian | Beléndez, Augusto | Francés, Jorge |
Grupo/s de investigación o GITE: | Holografía y Procesado Óptico |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Departamento de Óptica, Farmacología y Anatomía | Universidad de Alicante. Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologías |
Palabras clave: | Liquid crystals | PA-LC devices |
Fecha de creación: | 30-jun-2023 |
Fecha de publicación: | 18-oct-2023 |
Editor: | EDP Sciences |
Cita bibliográfica: | J. Colomina-Martínez, J.J. Sirvent-Verdú, A. Pérez-Bernabeu, T. Lloret, B. Rodríguez-Nieto, C. Neipp, A. Beléndez and J. Francés, General application of the genetic algorithm to the estimation of the Liquid Crystal Director in PA-LC devices". 11th EOSAM, 11-15 September 2023, Dijon, France. EPJ Web Conferences 287, 13017 (2023). DOI: https://doi.org/10.1051/epjconf/202328713017 |
Resumen: | The study of liquid crystal (LC) director distribution is an important area of research in materials science and technology. Parallel-aligned liquid crystal (PA-LC) devices have been extensively studied due to their applications in liquid crystal displays, optical devices, and sensors. Estimating the LC director distribution is a critical step in designing and optimising PA-LC devices. This work shows the results derived from apply- ing novel optimisation techniques to estimate the liquid crystal (LC) director distribution in parallel-aligned liquid crystal (PA-LC) devices. Moreover, the genetic algorithm (GA) has been applied and compared with the minimisation of the Frank-Oseen free energy through the Euler-Lagrange equations. The GA is a stochastic optimisation technique that can effectively explore the search space and find the global optimum. Overall, this study’s results demonstrate the GA’s effectiveness in estimating the LC director distribution in PA-LC devices. This approach can improve the performance and design of liquid crystal displays, optical devices, and sensors. Furthermore, it can be extended to other fields where the optimisation of complex systems is required. Further research is needed to optimise the GA parameters and to explore its potential in other applications. |
Patrocinador/es: | The work was supported by the “Generalitat Valenciana” (IDIFEDER/2021/014 cofunded by FEDER EU program, project PROMETEO/2021/006, and INVESTIGO program (INVEST/2022/419) financed by Next Generation EU), “Ministerio de Ciencia e Innovación” of Spain (projects PID2021-123124OB-I00; PID2019-106601RB-I00), by “Universidad de Alicante” (UAFPU20-23). |
URI: | http://hdl.handle.net/10045/137966 |
ISSN: | 2100-014X |
DOI: | 10.1051/epjconf/202328713017 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/conferenceObject |
Derechos: | © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/). |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1051/epjconf/202328713017 |
Aparece en las colecciones: | INV - GHPO - Comunicaciones a Congresos, Conferencias, etc. |
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epjconf_eosam2023_13017.pdf | 1,25 MB | Adobe PDF | Abrir Vista previa | |
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