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Proceedings Paper

Design of hyperbolic metamaterials by genetic algorithm
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Paper Abstract

We explain the design of one dimensional Hyperbolic Metamaterials (HMM) using a genetic algorithm (GA) and provide sample applications including the realization of negative refraction. The design method is a powerful optimization approach to find the optimal performance of such structures, which “naturally” finds HMM structures that are globally optimized for specific applications. We explain how a fitness function can be incorporated into the GA for different metamaterial properties.

Paper Details

Date Published: 12 September 2014
PDF: 7 pages
Proc. SPIE 9160, Metamaterials: Fundamentals and Applications 2014, 91600K (12 September 2014); doi: 10.1117/12.2060338
Show Author Affiliations
Ian A. Goforth, The Univ. of North Carolina at Charlotte (United States)
Hossein Alisafaee, The Univ. of North Carolina at Charlotte (United States)
Daniel B. Fullager, The Univ. of North Carolina at Charlotte (United States)
Chris Rosenbury, The Univ. of North Carolina at Charlotte (United States)
Michael A. Fiddy, The Univ. of North Carolina at Charlotte (United States)


Published in SPIE Proceedings Vol. 9160:
Metamaterials: Fundamentals and Applications 2014
Nader Engheta; Mikhail A. Noginov; Nikolay I. Zheludev, Editor(s)

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