2017/07/05 by Krupali Donda, Donda, Krupali D., Ravi S. Hegde +1
Engineering · Materials Science · #Advanced Antenna and Metasurface Technologies #Applied Physics (physics.app-ph) #FOS: Physical sciences #Metamaterials and Metasurfaces Applications #Microwave Engineering and Waveguides #Optics (physics.optics)
paper · pdf · doi:10.48550/arxiv.1709.05919
openalex publication_date 2017/07/05 · openalex created_date 2022/10/06 · openalex updated_date 2026/07/28
We propose a novel numerical approach for the optimal design of wide-area\nheterogeneous electromagnetic metasurfaces beyond the conventionally used\nunit-cell approximation. The proposed method exploits the combination of\nRigorous Coupled Wave Analysis (RCWA) and global optimization techniques (two\nevolutionary algorithms namely the Genetic Algorithm (GA) and a modified form\nof the Artificial Bee Colony (ABC with memetic search phase method) are\nconsidered). As a specific example, we consider the design of beam deflectors\nusing all-dielectric nanoantennae for operation in the visible wavelength\nregion; beam deflectors can serve as building blocks for other more complicated\ndevices like metalenses. Compared to previous reports using local optimization\napproaches our approach improves device efficiency; transmission efficiency is\nespecially improved for wide deflection angle beam deflectors. The ABC method\nwith memetic search phase is also an improvement over the more commonly used GA\nas it reaches similar efficiency levels with upto 35% reduction in computation\ntime. The method described here is of interest for the rapid design of a wide\nvariety of electromagnetic metasurfaces irrespective of their operational\nwavelength.\n