Regensburg 2022 – wissenschaftliches Programm

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O: Fachverband Oberflächenphysik

O 78: Plasmonics and Nanooptics 3

O 78.6: Vortrag

Freitag, 9. September 2022, 11:45–12:00, H3

Tailoring of nonlinear metasurfaces using sampling-based optimization — •David Hähnel, Jens Förstner, and Viktor Myroshnychenko — Paderborn University, Theoretical Electrical Engineering, Warburger Str. 100, 33098 Paderborn, Germany

Various efficient methods for the design and optimization of linear metasurfaces have already been developed in the past [1]. Nowadays, attempts are being made to use these methods also for the design and optimization of nonlinear metasurfaces, which is a quite complex task due to the nonlinear processes involved. Here we present the design and optimization of all-dielectric nonlinear metasurfaces using a simple sampling method combined with Monte Carlo simulation, demonstrating that the use of sophisticated optimization methods is not necessarily required. Furthermore, this combination provides an effective approach in the optimization of nonlinear metasurfaces with a dynamic problem, such as a varying number of optimization parameters that are unknown in advance. We apply this method combination in the optimization of a nonlinear beam deflector metasurface for the third harmonic, which consist of an array of elliptical silicon disks and obtained an significant improvement in the radiated intensity compared to literature results [2]. [1] Chen, S. et al., Advanced Optical Materials 2018, 6, 1800104. [2] Lei Wang et al., Nano Lett. 2018, 18, 6, 3978-3984.