Stochastic optimization of low-loss optical negative-index metamaterial

Alexander V. Kildishev; Uday K. Chettiar; Zhengtong Liu; Vladimir M. Shalaev; Do Hoon Kwon; Zikri Bayraktar; Douglas H. Werner

doi:10.1364/JOSAB.24.000A34

Stochastic optimization of low-loss optical negative-index metamaterial

Alexander V. Kildishev, Uday K. Chettiar, Zhengtong Liu, Vladimir M. Shalaev, Do Hoon Kwon, Zikri Bayraktar, Douglas H. Werner

Research output: Contribution to journal › Article

20 Scopus citations

Abstract

Optical metamaterial consisting of metal-dielectric composites creates a complicated system that is not amenable to analytical solutions. This presents a challenge in optimizing these intricate systems. We present the application of three nature-inspired stochastic optimization techniques in conjunction with fast numerical electromagnetic solvers to yield a metamaterial that satisfies a required design criterion. In particular, three stochastic optimization tools (genetic algorithm, particle swarm optimization, and simulated annealing) are used for designing a low-loss optical negative index metamaterial. A negative refractive index around -0.8 + 0.2i is obtained at a wavelength of 770 nm. The particle swarm optimization algorithm is found to be the most efficient in this case.

Original language	English (US)
Pages (from-to)	A34-A39
Journal	Journal of the Optical Society of America B: Optical Physics
Volume	24
Issue number	10
DOIs	https://doi.org/10.1364/JOSAB.24.000A34
State	Published - Oct 2007

All Science Journal Classification (ASJC) codes

Statistical and Nonlinear Physics
Atomic and Molecular Physics, and Optics

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Kildishev, A. V., Chettiar, U. K., Liu, Z., Shalaev, V. M., Kwon, D. H., Bayraktar, Z., & Werner, D. H. (2007). Stochastic optimization of low-loss optical negative-index metamaterial. Journal of the Optical Society of America B: Optical Physics, 24(10), A34-A39. https://doi.org/10.1364/JOSAB.24.000A34

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abstract = "Optical metamaterial consisting of metal-dielectric composites creates a complicated system that is not amenable to analytical solutions. This presents a challenge in optimizing these intricate systems. We present the application of three nature-inspired stochastic optimization techniques in conjunction with fast numerical electromagnetic solvers to yield a metamaterial that satisfies a required design criterion. In particular, three stochastic optimization tools (genetic algorithm, particle swarm optimization, and simulated annealing) are used for designing a low-loss optical negative index metamaterial. A negative refractive index around -0.8 + 0.2i is obtained at a wavelength of 770 nm. The particle swarm optimization algorithm is found to be the most efficient in this case.",

author = "Kildishev, {Alexander V.} and Chettiar, {Uday K.} and Zhengtong Liu and Shalaev, {Vladimir M.} and Kwon, {Do Hoon} and Zikri Bayraktar and Werner, {Douglas H.}",

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AU - Kildishev, Alexander V.

AU - Chettiar, Uday K.

AU - Liu, Zhengtong

AU - Shalaev, Vladimir M.

AU - Kwon, Do Hoon

AU - Bayraktar, Zikri

AU - Werner, Douglas H.

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AB - Optical metamaterial consisting of metal-dielectric composites creates a complicated system that is not amenable to analytical solutions. This presents a challenge in optimizing these intricate systems. We present the application of three nature-inspired stochastic optimization techniques in conjunction with fast numerical electromagnetic solvers to yield a metamaterial that satisfies a required design criterion. In particular, three stochastic optimization tools (genetic algorithm, particle swarm optimization, and simulated annealing) are used for designing a low-loss optical negative index metamaterial. A negative refractive index around -0.8 + 0.2i is obtained at a wavelength of 770 nm. The particle swarm optimization algorithm is found to be the most efficient in this case.

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