Inverse design method for periodic and aperiodic metasurfaces based on the adjoint-method: metalens with random-like distributed nano-rods
Kofi Edee, Mauro Antezza, Brahim Guizal

TL;DR
This paper introduces a fast, efficient adjoint-based topology optimization method for designing large-scale periodic and aperiodic metasurfaces, significantly reducing computational time by using fewer design parameters.
Contribution
A novel adjoint-based topology optimization approach that simplifies design parameters for metasurfaces, enabling rapid large-scale structure optimization.
Findings
Achieved about tenfold reduction in computational time.
Successfully designed a directional metagrating with specific response.
Created a high-energy focusing dielectric metalens.
Abstract
The classical adjoint-based topology optimization (TO) method, based on the use of a random continuous dielectric function as an adjoint variable distribution, is known to be one of the most efficient optimization methods that enable the design of optical devices with outstanding performances. However, the strategy for selecting the optimal solution requires a very fine pixelation of the permittivity function of the profile under optimization. Typically, at least 28 pixels are needed while optimizing a one wavelength wide 1D metagrating. This makes it very difficult to extend TO methods to large-scale optimization problems. In this paper, we introduce a new concept of adjoint-based topology optimization that enables fast and efficient geometry based design of both periodic and aperiodic metasurfaces. The structures are built from nano-rods whose widths and positions are to be adjusted.…
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Taxonomy
TopicsMetamaterials and Metasurfaces Applications · Advanced Antenna and Metasurface Technologies · Photonic Crystals and Applications
