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Article
Broadband Infrared Binary-Pattern Metasurface Absorbers with Micro-Genetic Algorithm Optimization
Optics Letters
  • Zhigang Li
  • Liliana Stan
  • David A. Czaplewski
  • Xiaodong Yang, Missouri University of Science and Technology
  • Jie Gao, Missouri University of Science and Technology
Abstract

Broadband binary-pattern metasurface absorbers are designed and demonstrated in the mid-infrared wavelength range through the micro-genetic algorithm. The tungsten-based metasurface absorbers with the optimized binary-pattern nanostructures exhibit broadband near-perfect absorption due to the multiple plasmonic resonances supported within the unit cell. Furthermore, the influence of minor pixel modifications in the optimized binary-pattern nanostructures on the absorption performance is investigated in the experiment. This Letter presents a promising approach to design and optimize complex optical nanostructures with the desired properties for metamaterial and metasurface applications.

Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Intelligent Systems Center
Comments
National Science Foundation (NSF) (DMR1552871, ECCS-1653032); Office of Naval Research (ONR) (N00014-16-1-2408); Intelligent Systems Center (ISC) and Materials Research Center (MRC) at Missouri S&T; U.S. Department of Energy (DOE), Office of Science (DE-AC02-06CH11357).
Keywords and Phrases
  • Genetic algorithms,
  • Plasmonics,
  • Absorption performance,
  • Binary patterns,
  • Metasurface,
  • Micro genetic algorithm,
  • Mid-infrared wavelength ranges,
  • Optical nanostructures,
  • Pixel modification,
  • Plasmonic resonances,
  • Nanostructures
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Optical Society of America (OSA), All rights reserved.
Publication Date
1-1-2019
Publication Date
01 Jan 2019
Citation Information
Zhigang Li, Liliana Stan, David A. Czaplewski, Xiaodong Yang, et al.. "Broadband Infrared Binary-Pattern Metasurface Absorbers with Micro-Genetic Algorithm Optimization" Optics Letters Vol. 44 Iss. 1 (2019) p. 114 - 117 ISSN: 0146-9592; 1539-4794
Available at: http://works.bepress.com/xiaodong-yang/17/