• 文献标题:   Tunable Goos-Hanchen Shift Surface Plasmon Resonance Sensor Based on Graphene-hBN Heterostructure
  • 文献类型:   Article
  • 作  者:   LIU ZH, LU FY, JIANG LY, LIN W, ZHENG ZW
  • 作者关键词:   gooshanchen gh shift, graphene, sensor
  • 出版物名称:   BIOSENSORSBASEL
  • ISSN:  
  • 通讯作者地址:  
  • 被引频次:   8
  • DOI:   10.3390/bios11060201
  • 出版年:   2021

▎ 摘  要

In this paper, a bimetallic sensor based on graphene-hexagonal boron nitride (hBN) heterostructure is theoretically studied. The sensitivity of the sensor can be improved by enhancing the Goos-Hanchen (GH) shift in the infrared band. The theoretical results show that adjusting the Fermi level, the number of graphene layers and the thickness of hBN, a GH shift of 182.09 lambda can be obtained. Moreover, sensitivity of 2.02 x 10(5) lambda/RIU can be achieved with monolayer graphene, the thickness of gold layer is 20 nm, silver layer is 15 nm, and the hBN thickness of 492 nm. This heterogeneous infrared sensor has the advantages of high sensitivity and strong stability. The research results will provide a theoretical basis for the design of a new high-sensitivity infrared band sensor.