Particle Swarm Optimization Algorithm for Gold Nanohole Array Design

Abstract

Gold nanohole arrays represent a class of bidimensional plasmonic metasurfaces that are suitable for realizing optical sensors. We propose a modeling approach based on a customized particle swarm optimization algorithm implemented in the commercial Ansys Lumerical FDTD software. Providing the relevant optical and morphological parameters, we obtain a set of optimized geometrical parameters tailored to the required features. Specifically, we deal with square and hexagonal arrays of air cylinders embedded in a gold layer deposited on a glass substrate engineered for surface plasmon resonance technique-based biosensors. Two structures have been defined and we plan to fabricate them to validate our design routine.

Keywords

• FDTD simulation
• particle swarm optimization algorithm
• gold nanohole arrays