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

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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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Citation Formats

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.