Convergence and Performance Analysis of a Particle Swarm Optimization Algorithm for Optical Tuning of Gold Nanohole Arrays

Autor:	Margherita Angelini, Luca Zagaglia, Franco Marabelli, Francesco Floris
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	FDTD simulation particle swarm optimization algorithm gold nanohole arrays Technology Electrical engineering. Electronics. Nuclear engineering TK1-9971 Engineering (General). Civil engineering (General) TA1-2040 Microscopy QH201-278.5 Descriptive and experimental mechanics QC120-168.85
Zdroj:	Materials, Vol 17, Iss 4, p 807 (2024)
Druh dokumentu:	article
ISSN:	1996-1944 94264740
DOI:	10.3390/ma17040807
Popis:	Gold nanohole arrays, hybrid metal/dielectric metasurfaces composed of periodically arranged air holes in a thick gold film, exhibit versatile support for both localized and propagating surface plasmons. Leveraging their capabilities, particularly in surface plasmon resonance-oriented applications, demands precise optical tuning. In this study, a customized particle swarm optimization algorithm, implemented in Ansys Lumerical FDTD, was employed to optically tune gold nanohole arrays treated as bidimensional gratings following the Bragg condition. Both square and triangular array dispositions were considered. Convergence and evolution of the particle swarm optimization algorithm were studied, and a mathematical model was developed to interpret its outcomes.
Databáze:	Directory of Open Access Journals
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