• 文献标题:   Evolutionary Optimization of Graphene-Metal Metasurfaces for Tunable Broadband Terahertz Absorption
  • 文献类型:   Article
  • 作  者:   TORABI ES, FALLAHI A, YAHAGHI A
  • 作者关键词:   absorber, broadband, frequency selective surface fss, graphene, random hill climbing optimization, terahertz thz, tunable
  • 出版物名称:   IEEE TRANSACTIONS ON ANTENNAS PROPAGATION
  • ISSN:   0018-926X EI 1558-2221
  • 通讯作者地址:   Shiraz Univ
  • 被引频次:   10
  • DOI:   10.1109/TAP.2016.2647580
  • 出版年:   2017

▎ 摘  要

Tunable terahertz absorbers based on graphene frequency selective surfaces are designed using well-established evolutionary optimization techniques. Randomly initialized hill climbing (RHC) algorithm is applied to find the design with the broadest bandwidth. The effects of three factors including the substrate loss, structuring the substrate and using double layer patches are examined. The optimum structure with broadest operation bandwidth consists of a perforated lossy substrate with a single layer patch and offers 1.95 THz absorption bandwidth around 2 THz central frequency leading to 100% fractional bandwidth.