Meta-atom library generation via an efficient multi-objective shape optimization method

Abstract

Optimizing the shape of metasurface unit cells can lead to tremendous performance gains in several critically important areas. This paper presents a method of generating and optimizing freeform shapes to improve efficiency and achieve multiple metasurface functionalities (e.g., different polarization responses). The designs are generated using a three-dimensional surface contour method, which can produce an extensive range of nearly arbitrary shapes using only a few variables. Unlike gradient-based topology optimization, the proposed method is compatible with existing global optimization techniques that have been shown to significantly outperform local optimization algorithms, especially in complex and multimodal design spaces.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 31, 2020
Source ID
10.1364/oe.398332

Entities

People

  • Douglas H. Werner
  • Eric B. Whiting
  • Lei Kang
  • Sawyer D. Campbell

Organizations

  • Defense Advanced Research Projects Agency

Tags

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development
  • Nanofabrication and Microfabrication.

Technology Areas

  • Space