Fabry-pérot bianisotropic metasurfaces for perfect anomalous refraction

Sherman W. Marcus, Ariel Epstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

It has been shown that an easily designed array of Fabry-Pérot etalons can emulate the scattering capability of a theoretical zero-thickness Huygens' metasurface [1]. Each etalon of this 'Fabry-Pérot Huygens' Metasurface' (FP-HMS) consists of a parallel plate waveguide filled with two symmetric dielectric layers [Figure 1(a)] to control the transmission and reflection coefficients through it. These coefficients are those obtained for the equivalent zero-thickness structure abstractly characterized by a periodic surface electric impedance Z {se} and surface magnetic admittance Y {sm} [2]. An FP-HMS analytically designed (without resort to full-wave solvers) to alter the direction of a plane wave passing through it [Figure 1(b)] was shown both analytically and numerically (CST) to produce this desired anomalous refraction [1], and to provide results fully consistent with the ideal zero-thickness Huygens' metasurface [2]. However, the designed scattering necessarily included reflected components [see interference pattern in Figure 1(c)], so that a portion of the incident energy was lost to spurious scattering.

Original languageEnglish
Title of host publicationProceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
Pages646
Number of pages1
ISBN (Electronic)9781728105635
DOIs
StatePublished - Sep 2019
Event21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019 - Granada, Spain
Duration: 9 Sep 201913 Sep 2019

Publication series

NameProceedings of the 2019 21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019

Conference

Conference21st International Conference on Electromagnetics in Advanced Applications, ICEAA 2019
Country/TerritorySpain
CityGranada
Period9/09/1913/09/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Geophysics
  • Radiation
  • Modelling and Simulation
  • Statistics and Probability
  • Instrumentation

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