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Plasmonic Nano-antenna Optimization Using Characteristic Mode Analysis
Published
Author(s)
Edward Garboczi, Sumitra Dey, Deb Chatterjee, Ahmed M. Hassan
Abstract
Plasmonic nano-antennas are typically designed using RF-inspired parametric optimization process and/or using trial and error search algorithms which lack proper physical insight. In this study, we demonstrate how the Characteristic Mode Analysis (CMA) approach can be used for the optimization of a nano-antenna. A complex geometry termed as the Split-Ring two-wire Antenna (SRA) is selected, and in this work we show how CMA can be used for the systematic optimization of the structure to achieve certain goals. The CMA identifies the structure's dominant modes, at the frequency of interest, and the dependency of these modes on the structure's shape, size and material. Using this dependency, we show how the shape and material of the SRA can be efficiently optimized to yield enhanced performance. This proposed method of design and optimization using CMA can be easily adapted for many applications facilitating the development of nano-antennas in general.
Garboczi, E.
, Dey, S.
, Chatterjee, D.
and Hassan, A.
(2020),
Plasmonic Nano-antenna Optimization Using Characteristic Mode Analysis, IEEE Transactions on Antennas and Propagation, [online], https://doi.org/10.1109/TAP.2019.2938705, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=926689
(Accessed October 14, 2025)