• DocumentCode
    1246761
  • Title

    An accurate intrinsic capacitance modeling for deep submicrometer MOSFET´s

  • Author

    Cho, Dae-Hyung ; Kang, Sung-Mo ; Kim, Kyung-Ho ; Lee, Sang-Hoon

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • Volume
    42
  • Issue
    3
  • fYear
    1995
  • fDate
    3/1/1995 12:00:00 AM
  • Firstpage
    540
  • Lastpage
    548
  • Abstract
    This paper presents a new approach to the modeling of MOSFET capacitive characteristics for accurate simulation of deep submicrometer integrated circuits. The C-V characteristics of our new quasistatic intrinsic capacitance model accurately describes the short channel effects of deep submicrometer MOSFET´s by accounting for velocity saturation and series resistance effects. The use of charge equations consistent with the short channel I-V characteristics leads to C-V characteristics which preserve all major short channel effects. The C-V calculation, based on nonpinned surface potential approach and drift-diffusion model, shows highly accurate short-channel effects and inherently smooth transitions for all conditions of device operation. The accuracy of the C-V characteristics has been demonstrated by comparison with the Ward-Dutton model and PISCES simulation results
  • Keywords
    MOSFET; capacitance; diffusion; semiconductor device models; C-V characteristics; MOSFET capacitive characteristics; PISCES simulation; Ward-Dutton model; charge equations; deep submicrometer MOSFET; device operation; drift-diffusion model; intrinsic capacitance modeling; nonpinned surface potential approach; quasistatic intrinsic capacitance model; series resistance effects; short channel effects; velocity saturation; Capacitance measurement; Capacitance-voltage characteristics; Circuit simulation; Current measurement; Doping; Electric resistance; Immune system; Integrated circuit modeling; MOSFET circuits; Voltage;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/16.368052
  • Filename
    368052