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) |
|---|---|
| Journal | Journal of the Optical Society of America B: Optical Physics |
| Volume | 24 |
| Issue number | 10 |
| DOIs | |
| State | Published - Jan 1 2007 |
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All Science Journal Classification (ASJC) codes
- Statistical and Nonlinear Physics
- Atomic and Molecular Physics, and Optics
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Stochastic optimization of low-loss optical negative-index metamaterial. / Kildishev, Alexander V.; Chettiar, Uday K.; Liu, Zhengtong; Shalaev, Vladimir M.; Kwon, Do Hoon; Bayraktar, Zikri; Werner, Douglas Henry.
In: Journal of the Optical Society of America B: Optical Physics, Vol. 24, No. 10, 01.01.2007.Research output: Contribution to journal › Article
TY - JOUR
T1 - Stochastic optimization of low-loss optical negative-index metamaterial
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 Henry
PY - 2007/1/1
Y1 - 2007/1/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=36949012034&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=36949012034&partnerID=8YFLogxK
U2 - 10.1364/JOSAB.24.000A34
DO - 10.1364/JOSAB.24.000A34
M3 - Article
AN - SCOPUS:36949012034
VL - 24
JO - Journal of the Optical Society of America B: Optical Physics
JF - Journal of the Optical Society of America B: Optical Physics
SN - 0740-3224
IS - 10
ER -