We show that a previously derived LCR model for a plasmonic waveguide can be generalized to a model for hyperbolic metamaterials (HMMs). An analysis of previous work and a generalization into a multilayer structure is presented. The physical significance and practical applications are discussed.
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.