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Computational design of nanoantennas with improved power enhancement capabilities via shape optimization
Date
2023-01-01
Author
Işiklar, Göktuǧ
Yazar, Şirin
İbili, Hande
Onay, Gülten
El Ahdab, Zeina
Ergül, Özgür Salih
Metadata
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Computational design and analyses of nanoantennas obtained via surface shape optimization are presented. Starting with a kernel geometry, free deformations are applied on selected surfaces to reach optimal designs that can provide improved power enhancement capabilities at desired frequencies. An in-house implementation of genetic algorithms is efficiently combined with the multilevel fast multipole algorithm developed for accurate solutions of plasmonic problems to construct the effective optimization environment. The geometries obtained via optimization do not only represent optimal shapes within the allowed deformation limits but also reveal certain types of modifications on kernel geometries to improve their performances.
Subject Keywords
genetic algorithms
,
multilevel fast multipole algorithm
,
nanoantennas
,
optimization
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85147606238&origin=inward
https://hdl.handle.net/11511/102248
Journal
Optical Engineering
DOI
https://doi.org/10.1117/1.oe.62.1.015107
Collections
Department of Electrical and Electronics Engineering, Article
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G. Işiklar, Ş. Yazar, H. İbili, G. Onay, Z. El Ahdab, and Ö. S. Ergül, “Computational design of nanoantennas with improved power enhancement capabilities via shape optimization,”
Optical Engineering
, vol. 62, no. 1, pp. 0–0, 2023, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85147606238&origin=inward.