Multiobjective Optimization of Bespoke Gradient-Index Lenses: A Powerful Tool for Overcoming the Limitations of Transformation Optics

Jingwei Xu, Eric B. Whiting, Sawyer D. Campbell, Pingjuan L. Werner, Douglas H. Werner, Jeremy A. Bossard, John P. Barrett, Joshua W. Withrow, and James D. Weigner
Phys. Rev. Applied 18, 024021 – Published 8 August 2022
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Abstract

Gradient-index (GRIN) lenses have paved the way for electromagnetic wave tailoring due to their spatially varying permittivities, which enable continuous manipulation of the wave as it passes through the lens volume. However, traditional GRIN design methodologies, such as transformation optics or geometrical optics, often generate lens profiles that are limited to single-band performance. Here, we propose a multiobjective optimization strategy customized for designing dual-band GRIN lenses. Utilizing this powerful inverse-design tool, in conjunction with an advanced manufacturing technique, a GRIN lens with compact size and nonintuitive permittivity distribution is designed, fabricated, and characterized. The lens is capable of realizing two unique gain enhancement objectives at the L and C bands simultaneously, where different feeding sources are employed at the two bands.

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  • Received 30 September 2021
  • Revised 5 May 2022
  • Accepted 2 June 2022

DOI:https://doi.org/10.1103/PhysRevApplied.18.024021

© 2022 American Physical Society

Physics Subject Headings (PhySH)

Atomic, Molecular & OpticalCondensed Matter, Materials & Applied Physics

Authors & Affiliations

Jingwei Xu1,*, Eric B. Whiting1, Sawyer D. Campbell1, Pingjuan L. Werner1, Douglas H. Werner1, Jeremy A. Bossard2, John P. Barrett2, Joshua W. Withrow3, and James D. Weigner3

  • 1Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA
  • 2Rotary and Mission Systems, Lockheed Martin, Moorestown, New Jersey, USA
  • 3Rotary and Mission Systems, Lockheed Martin, Syracuse, New York, USA

  • *jxx89@psu.edu

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Issue

Vol. 18, Iss. 2 — August 2022

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