Отрывок: ru 564 Computer Optics, 2022, Vol. 46(4) DOI: 10.18287/2412-6179-CO-1128 tion algorithm from the initial population corresponding to the Bragg reflector. It can be seen that the algorithm does not get stuck in a local minimum, but continues to improve performance. This shows the advantage of the chosen ap- proach over the gradient descent method, which is often used for optimization. The results obtained are shown in tab. 2. It can be seen that in certain cases it is possible to ...
Название : Genetic algorithm for optimizing Bragg and hybrid metal-dielectric reflectors
Авторы/Редакторы : Girshova, E.I.
Ogurtcov, A.V.
Belonovski, A.V.
Morozov, K.M.
Kaliteevski, M.A.
Ключевые слова : distributed Bragg reflector
multilayered structures
genetic algorithm
hybrid metal-dielectric mirror
Дата публикации : Авг-2022
Издательство : Самарский национальный исследовательский университет
Библиографическое описание : Girshova EI, Ogurtcov AV, Belonovski AV, Morozov KM, Kaliteevski MA. Genetic algorithm for optimizing Bragg and hybrid metal-dielectric reflectors. Computer Optics 2022; 46(4): 561-566. DOI: 10.18287/2412-6179-CO-1128.
Серия/номер : 46;4
Аннотация : Highly efficient reflectors are in demand in the rapidly developing optoelectronics. At the moment, distributed Bragg reflectors made of semiconductor materials are mainly used in this capacity. A lot of time and financial resources are spent on their production. Reducing the thickness of the reflector while maintaining its reflectivity would make these devices more affordable and extend their lifetime by reducing thermal noise. With the help of genetic optimization algorithms, the structures of multilayer semiconductor and combined metal-semiconductor reflectors were obtained, having a smaller thickness and equal optical characteristics than those of classical analogues. In particular, a 29% reduction in the thickness of the silicon/silica Bragg reflector was achieved without compromising performance.
URI (Унифицированный идентификатор ресурса) : https://dx.doi.org/10.18287/2412-6179-CO-1128
http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Genetic-algorithm-for-optimizing-Bragg-and-hybrid-metaldielectric-reflectors-104022
Другие идентификаторы : Dspace\SGAU\20230601\104022
Располагается в коллекциях: Журнал "Компьютерная оптика"

Файлы этого ресурса:
Файл Описание Размер Формат  
2412-6179_2022_46-4_561-566.pdf930.15 kBAdobe PDFПросмотреть/Открыть



Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.