Synthesizing High-performance Reconfigurable Meta-devices through Multi-objective Optimization

Authors

  • Sawyer D. Campbell Department of Electrical Engineering The Pennsylvania State University University Park, PA 16802, USA
  • Yuhao Wu Department of Electrical Engineering The Pennsylvania State University University Park, PA 16802, USA
  • Eric B. Whiting Department of Electrical Engineering The Pennsylvania State University University Park, PA 16802, USA
  • Lei Kang Department of Electrical Engineering The Pennsylvania State University University Park, PA 16802, USA
  • Pingjuan L. Werner Department of Electrical Engineering The Pennsylvania State University University Park, PA 16802, USA
  • Douglas H. Werner Department of Electrical Engineering The Pennsylvania State University University Park, PA 16802, USA

Keywords:

inverse-design, metamaterials, metasurfaces, nanoantennas, optimization, reconfigurable

Abstract

Metasurfaces offer the potential to realize large SWaP (size, weight, and power) reduction over conventional optical elements for their ability to achieve comparable functionalities in ultrathin geometries. Moreover, metasurfaces designed with phase change materials offer the potential to go beyond what is achievable by conventional optics by enabling multiple functionalities in a single reconfigurable meta-device. However, designing a single metasurface geometry that simultaneously achieves multiple desired functionalities while meeting all bandwidth requirements and fabrication constraints is a very challenging problem. Fortunately, this challenge can be overcome by the use of state-of-the-art multi-objective optimization algorithms which are well-suited for the inverse-design of multifunctional meta-devices.

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Published

2020-11-07

How to Cite

[1]
Sawyer D. Campbell, Yuhao Wu, Eric B. Whiting, Lei Kang, Pingjuan L. Werner, and Douglas H. Werner, “Synthesizing High-performance Reconfigurable Meta-devices through Multi-objective Optimization”, ACES Journal, vol. 35, no. 11, pp. 1441–1442, Nov. 2020.

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