• DocumentCode
    1537465
  • Title

    Local iterative Monte Carlo analysis of electron-electron interaction in short-channel Si-MOSFETs

  • Author

    Mietzner, Torsten ; Jakumeit, Jürgen ; Ravaioli, Umberto

  • Author_Institution
    Phys. Inst., Koln Univ., Germany
  • Volume
    48
  • Issue
    10
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    2323
  • Lastpage
    2330
  • Abstract
    The effects of electron-electron interaction on the electron distribution, substrate current, and gate current in short n-channel metal-oxide-semiconductor field-effect transistors (MOSFETs) are studied using the local iterative Monte Carlo (LIMC) approach. The complete distribution function is always available at each step of this approach and with reduced noise with respect to standard Monte Carlo (MC) simulation. Therefore, electron-electron interaction can be evaluated efficiently using scattering rates, allowing one to examine hot carrier effects that may play an important role for device reliability and characterization. Results for MOSFETs with channel length as short as 25 nm show that electron-electron interaction leads to an increase of the high energy tail of the electron distributions at the transition from channel to drain. The electron density around 3 eV is significantly increased even if the applied voltage is in the 1.0 V range
  • Keywords
    MOSFET; Monte Carlo methods; electron density; elemental semiconductors; hot carriers; iterative methods; semiconductor device models; silicon; 25 nm; Si; Si MOSFET; electron density; electron distribution function; electron-electron interaction; gate current; hot carrier effect; local iterative Monte Carlo simulation; reliability; scattering rate; short channel effect; substrate current; Charge carrier processes; Distribution functions; Electrons; FETs; Hot carrier effects; Iterative methods; MOSFETs; Monte Carlo methods; Noise reduction; Scattering;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/16.954472
  • Filename
    954472