• 文献标题:   Efficient Optical Spatial First-Order Differentiator Based on Graphene-Based Metalines and Evolutionary Algorithms
  • 文献类型:   Article
  • 作  者:   ZHANG T, XIE JN, DAN YH, YU S, HAN X, DAI J, XU K
  • 作者关键词:   optical differentiator, graphene, inverse design
  • 出版物名称:   IEEE PHOTONICS JOURNAL
  • ISSN:   1943-0655 EI 1943-0647
  • 通讯作者地址:   Beijing Univ Posts Telecommun
  • 被引频次:   0
  • DOI:   10.1109/JPHOT.2020.2966918
  • 出版年:   2020

▎ 摘  要

We propose a novel optical spatial differentiator to perform the differentiation computation in terahertz region based on the graphene metalines, which consist of graphene layers with different widths and chemical potentials. The numerical simulation results show that when beam waist size w > 1.9;, the metalines perform the first-order differentiation in the reflection spectrum with efficiency > 97;, which can be theoretically demonstrated by using transfer matrix method. In order to further improve the performance of the differentiator, evolutionary algorithm, such as genetic algorithm, is used to inversely design the structure parameters and chemical potentials of graphene metalines. The optimization results show that some performance metrics of the differentiator, for example normalized root-mean-square deviation, are better than the previous structures. Obviously, the proposed graphene metalines combined with inverse design technology can achieve a high-performance optical spatial differentiator in terahertz region and provide a new way to design the photonics devices.