Intelligent Metasurfaces with Continuously Tunable Local Surface Impedance for Multiple Reconfigurable Functions

By Fu Liu, O. Tsilipakos, A. Pitilakis, A. Tasolamprou, M. Mirmoosa, N. Kantartzis, Do-Hoon Kwon, Maria Kafesaki, Costas M. Soukoulis, Sergei A. Tretyakov. Physical Review Applied, 2018

186 citations recorded by the source corpus.

Electromagnetic metasurfaces can be characterized as intelligent if they are able to perform multiple tunable functions, with the desired response being controlled by a computer influencing the individual electromagnetic properties of each metasurface inclusion. In this paper, we present an example of an intelligent metasurface which operates in the reflection mode in the microwave frequency range. We numerically show that without changing the main body of the metasurface we can achieve tunable perfect absorption and tunable anomalous reflection. The tunability features can be implemented using mixed-signal integrated circuits (ICs), which can independently vary both the resistance and reactance, offering complete local control over the complex surface impedance. The ICs are embedded in the unit cells by connecting two metal patches over a thin grounded substrate and the reflection property of the intelligent metasurface can be readily controlled by a computer. Our intelligent metasurface can have significant influence on future space-time modulated metasurfaces and a multitude of applications, such as beam steering, energy harvesting, and communications.

Subfields: Aerospace Engineering, Electronic, Optical and Magnetic Materials

View Paper: https://www.semanticscholar.org/paper/74b95993c30116cf1421afcccf41c0b9dad01e5e

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In Aerospace Engineering

  1. Rui Zhang
  2. M. Di Renzo
  3. Merouane Debbah
  4. Mohamed-Slim Alouini
  5. Robert Schober
  6. Qingqing Wu
  7. Ying-Chang Liang
  8. Chau Yuen

In Electronic, Optical and Magnetic Materials

  1. Chau Yuen
  2. M. Di Renzo
  3. Merouane Debbah
  4. J. de Rosny
  5. Mohamed-Slim Alouini
  6. Alessio Zappone
  7. Rui Zhang
  8. Sergei A. Tretyakov

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