Design of hyperbolic metamaterials by genetic algorithm

Ian A. Goforth; Hossein Alisafaee; Daniel B. Fullager; Chris Rosenbury; Michael A. Fiddy

doi:10.1117/12.2060338

12 September 2014 Design of hyperbolic metamaterials by genetic algorithm

Ian A. Goforth, Hossein Alisafaee, Daniel B. Fullager, Chris Rosenbury, Michael A. Fiddy

Proceedings Volume 9160, Metamaterials: Fundamentals and Applications 2014; 91600K (2014) https://doi.org/10.1117/12.2060338
Event: SPIE NanoScience + Engineering, 2014, San Diego, California, United States

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.

Citation Download Citation

Ian A. Goforth, Hossein Alisafaee, Daniel B. Fullager, Chris Rosenbury, and Michael A. Fiddy "Design of hyperbolic metamaterials by genetic algorithm", Proc. SPIE 9160, Metamaterials: Fundamentals and Applications 2014, 91600K (12 September 2014); https://doi.org/10.1117/12.2060338

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