Shape and size determination of plasmonic nano particles using particle swarm optimization algorithm based absorption coefficient

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• 作者：M. Goodarzi ; ^{m.goodarzi@sutech.ac.ir} ; A. Fakharzadeh J. ^{fakharzadeh@sutech.ac.ir}
• 关键词：Plasmonic nano particle ; Optimization algorithm ; PSO algorithm
• 刊名：Optik - International Journal for Light and Electron Optics
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：130
• 期：Complete
• 页码：44-49
• 全文大小：760 K
• 卷排序：130

文摘

Plasmonic nano particles can be greatly enhancing the optical absorption coefficient spectrum. Since optical properties of these particles strongly depends on the size and shape of the nano particles, in this paper particle swarm optimization algorithm (PSO) is used to optimize the nano particles shape and size in order to amplification of the absorption coefficient. In PSO a swarm consists of a matrix with decimal numbers, controls the particles shape and size in order to increase the absorption coefficient in the visible part of light spectrum. It is found that significant plasmonic enhancement of above 100000 can be obtained by optimize selection of particle shapes and sizes.