• 文献标题:   THz field detection in graphene using deep neural networks
  • 文献类型:   Article
  • 作  者:   KILIC V, FOSTER MA, KHURGIN JB
  • 作者关键词:  
  • 出版物名称:   APPLIED PHYSICS LETTERS
  • ISSN:   0003-6951 EI 1077-3118
  • 通讯作者地址:   Johns Hopkins Univ
  • 被引频次:   1
  • DOI:   10.1063/1.5120022
  • 出版年:   2019

▎ 摘  要

We propose a graphene-based terahertz detection scheme capable of measuring not only pulse energy but also electric field shape. The scheme leverages strong nonlinear velocity saturation characteristics of graphene in combination with envelope-carrier phase offset imposed by propagation of the pulses through the dispersive medium to produce shape-dependent electric charge. These charges can then be easily detected by conventional electronics, and as numerical calculations show, the original pulse shape can be recovered with the help of deep neural networks. Published under license by AIP Publishing.