• DocumentCode
    1316509
  • Title

    Surface-Potential-Based Drain Current Analytical Model for Triple-Gate Junctionless Nanowire Transistors

  • Author

    Trevisoli, Renan Doria ; Doria, Rodrigo Trevisoli ; De Souza, Michelly ; Das, Samaresh ; Ferain, Isabelle ; Pavanello, Marcelo Antonio

  • Author_Institution
    Univ. of Sao Paulo, Sao Paulo, Brazil
  • Volume
    59
  • Issue
    12
  • fYear
    2012
  • Firstpage
    3510
  • Lastpage
    3518
  • Abstract
    This paper proposes a drain current model for triple-gate n-type junctionless nanowire transistors. The model is based on the solution of the Poisson equation. First, the 2-D Poisson equation is used to obtain the effective surface potential for long-channel devices, which is used to calculate the charge density along the channel and the drain current. The solution of the 3-D Laplace equation is added to the 2-D model in order to account for the short-channel effects. The proposed model is validated using 3-D TCAD simulations where the drain current and its derivatives, the potential, and the charge density have been compared, showing a good agreement for all parameters. Experimental data of short-channel devices down to 30 nm at different temperatures have been also used to validate the model.
  • Keywords
    Laplace equations; MOSFET; Poisson equation; nanowires; semiconductor device models; surface potential; 2D Poisson equation; 3D Laplace equation; 3D TCAD simulations; charge density; drain current analytical model; long-channel devices; short-channel devices; short-channel effects; surface potential; triple-gate n-type junctionless nanowire transistors; Analytical models; Doping; Electric potential; Logic gates; Mathematical model; Semiconductor process modeling; Silicon; Drain current model; junctionless nanowire transistors (JNTs); short-channel effects (SCEs); temperature dependence;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2012.2219055
  • Filename
    6329945