Adaptive Genetic Algorithm for Optical Metasurfaces Design.

ABSTRACT: As optical metasurfaces become progressively ubiquitous, the expectations from them are becoming increasingly complex. The limited number of structural parameters in the conventional metasurface building blocks, and existing phase engineering rules do not completely support the growth rate of metasurface applications. In this paper, we present digitized-binary elements, as alternative high-dimensional building blocks, to accommodate the needs of complex-tailorable-multifunctional applications. To design these complicated platforms, we demonstrate adaptive genetic algorithm (AGA), as a powerful evolutionary optimizer, capable of handling such demanding design expectations. We solve four complex problems of high current interest to the optics community, namely, a binary-pattern plasmonic ref

SUBMITTER: Jafar-Zanjani S 

PROVIDER: S-EPMC6056425 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature