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9 October 2021 Research on nonlocal optical metasurfaces design based on the genetic algorithm method
Lingling Zhang, Huifan He, Haoyuan Zhong, Fengtao Lu
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Proceedings Volume 11903, Nanophotonics and Micro/Nano Optics VII; 1190313 (2021) https://doi.org/10.1117/12.2601270
Event: SPIE/COS Photonics Asia, 2021, Nantong, JS, China
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Abstract
Optical metasurfaces are one of the most studied objects in the field of electromagnetism. However, designing optical metasurfaces to meet the desired transfer function is still very challenging. Genetic Algorithm (GA) is an optimization algorithm that simulates the process of inheritance and evolution of organisms in their natural environment. It’s able to perform crossover, mutation, evolution and other operations on many of these gene fragments and ultimately obtain the optimal genetic outcome. In this paper, the structural parameters are optimized by the transfer matrix method in combination with a genetic algorithm to achieve a nonlocal transfer function. As an example, we optimize the multilayer slabs to match the ideal second order differential transfer function and the simulation results confirm the computational capabilities of the device.
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Lingling Zhang, Huifan He, Haoyuan Zhong, and Fengtao Lu "Research on nonlocal optical metasurfaces design based on the genetic algorithm method", Proc. SPIE 11903, Nanophotonics and Micro/Nano Optics VII, 1190313 (9 October 2021); https://doi.org/10.1117/12.2601270
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KEYWORDS
Genetic algorithms
Multilayers
Optical design
Optimization (mathematics)
Electromagnetism
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