• DocumentCode
    1354937
  • Title

    A large-signal equivalent circuit model for substrate-induced drain-lag phenomena in HJFETs

  • Author

    Kunihiro, Kazuaki ; Ohno, Yasuo

  • Author_Institution
    Opto-Electron. Res. Labs., NEC Corp., Ibaraki, Japan
  • Volume
    43
  • Issue
    9
  • fYear
    1996
  • fDate
    9/1/1996 12:00:00 AM
  • Firstpage
    1336
  • Lastpage
    1342
  • Abstract
    A large-signal HJFET model is developed for drain-lag phenomena caused by deep traps beneath the channel. The model is based on the self-backgating and Shockley-Read-Hall (SRH) statistics. It is shown by two-dimensional (2D) device simulation that electron capture in deep traps is much faster than electron emission under large-signal conditions; therefore, drain current exhibits different responses for rising and falling steps of applied voltage. In the circuit model, electron capture and emission in deep traps are expressed by a parallel circuit consisting of a diode and a resistor, which are physically deduced from SRH statistics. The model agrees well with the 2D simulation results and experimental current-transient data for large-signal voltage steps. In addition, this model accurately describes small-signal drain-conductance dispersion and temperature effects on the trapping phenomena
  • Keywords
    SPICE; deep levels; electron traps; equivalent circuits; junction gate field effect transistors; semiconductor device models; semiconductor device reliability; 2D device simulation; HJFETs; Shockley-Read-Hall statistics; applied voltage; current-transient data; deep traps; electron capture; large-signal equivalent circuit model; parallel circuit; self-backgating; small-signal drain-conductance dispersion; substrate-induced drain-lag phenomena; temperature effects; Circuit simulation; Diodes; Dispersion; Electron emission; Electron traps; Equivalent circuits; Radioactive decay; Resistors; Statistics; Voltage;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/16.535316
  • Filename
    535316