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Genetic algorithm for optimizing Bragg and hybrid metal-dielectric reflectors
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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.
Samara National Research University
Title: Genetic algorithm for optimizing Bragg and hybrid metal-dielectric reflectors
Description:
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.
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