• DocumentCode
    3608030
  • Title

    An Improved Cut-Off Frequency Model With a Modified Small-Signal Equivalent Circuit in Graphene Field-Effect Transistors

  • Author

    Lingfei Wang ; Ling Li ; Nianduan Lu ; Zhuoyu Ji ; Wei Wang ; Zhiwei Zong ; Guangwei Xu ; Ming Liu

  • Author_Institution
    Lab. of Nanofabrication & Novel Devices Integration Technol. & the Key Lab. of Microelectron. Devices & Integrated Technol., Inst. of Microelectron., Beijing, China
  • Volume
    36
  • Issue
    12
  • fYear
    2015
  • Firstpage
    1351
  • Lastpage
    1354
  • Abstract
    An improved cut-off frequency model of a modified equivalent circuit of graphene field-effect transistors, which incorporates the additional capacitive effect physically present due to dipole layer between the metal and the graphene, is proposed. The original equivalent circuit is not accurate for a large separation distance dipole layer. Based on the improved equivalent circuit model, a more accurate parameter extraction by two-port analysis is possible, and the cut-off frequency will be more accurate particularly for largely separated dipole layer near the Dirac point. Considering the dipole layer, the equivalent circuit is never investigated before, and the cut-off frequency model shows good agreement with experiments.
  • Keywords
    equivalent circuits; field effect transistors; graphene devices; Dirac point; capacitive effect; cut-off frequency model; graphene field-effect transistors; parameter extraction; separated dipole layer; small-signal equivalent circuit; two-port analysis; Capacitance; Cutoff frequency; Equivalent circuits; Field effect transistors; Graphene; Cut-off frequency analysis; contact capacitance; cut-off frequency analysis; graphene field-effect transistors; modified small-signal circuit model; two-port analysis; two-port analysis.;
  • fLanguage
    English
  • Journal_Title
    Electron Device Letters, IEEE
  • Publisher
    ieee
  • ISSN
    0741-3106
  • Type

    jour

  • DOI
    10.1109/LED.2015.2489205
  • Filename
    7295544