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Journal of Computational Electronics

Erschienen in:

01.06.2015

Binary optimization of metallic nano-tube-based absorption coefficient

verfasst von: Majid Akhlaghi, Hosein Shahmirzaee, Mohammad Hosain Enjavi

Erschienen in: Journal of Computational Electronics | Ausgabe 2/2015

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Abstract

A new efficient binary optimization method being established on teaching-learning-based optimization (TLBO) algorithm was used to design an array of plasmonic nano-tubes to increase maximum absorption coefficient spectrum. Binary TLBO (BTLBO), a bunch of learners including a matrix with binary entries responsible for controlling nano-tubes in the array, shows the presence with symbol of (‘1’) and the absence with (‘0’). Simulation results indicate that non-periodic structure having more appropriate response in terms of the absorption coefficient strongly depends on the position of plasmonic nano-particles and non-periodic structures. This efficient approach is used in optical applications such as solar cell and plasmonic nano-antenna.

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Titel: Binary optimization of metallic nano-tube-based absorption coefficient
verfasst von: Majid Akhlaghi
Hosein Shahmirzaee
Mohammad Hosain Enjavi
Publikationsdatum: 01.06.2015
Verlag: Springer US
Erschienen in: Journal of Computational Electronics / Ausgabe 2/2015
Print ISSN: 1569-8025
Elektronische ISSN: 1572-8137
DOI: https://doi.org/10.1007/s10825-015-0676-2

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