• DocumentCode
    1138295
  • Title

    A SPICE-compatible model for nanoscale MOSFET capacitor simulation under the inversion condition

  • Author

    Tang, Ting-wei ; Li, Yiming

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Massachusetts, Amherst, MA, USA
  • Volume
    1
  • Issue
    4
  • fYear
    2002
  • fDate
    12/1/2002 12:00:00 AM
  • Firstpage
    243
  • Lastpage
    246
  • Abstract
    A SPICE-compatible charge model for nanoscale MOSFET is proposed. Based on the solution of Schrodinger-Poisson (S-P) equations, the developed compact charge model is optimized with respect to: 1) the position of the charge concentration peak; 2) the maximum of the charge concentration; 3) the total inversion charge sheet density; and 4) the average inversion charge depth, respectively. This model can predict inversion layer electron density for various oxide thicknesses and applied voltages. Compared to the S-P results, our model prediction is within 5% of accuracy. Application of this charge quantization model to the C-V measurement produces an excellent agreement. This compact model has continuous derivatives and is therefore amenable to a device simulator. It can also be easily incorporated into circuit simulator for modeling ultrathin oxide MOSFET C-V characteristics.
  • Keywords
    MOSFET; Poisson equation; SPICE; Schrodinger equation; capacitance; inversion layers; nanoelectronics; semiconductor device models; C-V measurement; MOSFET C-V characteristics; SPICE-compatible charge model; Schrodinger-Poisson equations; applied voltages; average inversion charge depth; charge concentration peak; charge quantization model; circuit simulator; compact charge model; nanoscale MOSFET capacitor simulation; oxide thicknesses; total inversion charge sheet density; ultrathin oxide MOSFET; Capacitance-voltage characteristics; Capacitors; Charge measurement; Circuit simulation; Current measurement; Electrons; MOSFET circuits; Predictive models; Quantization; Voltage;
  • fLanguage
    English
  • Journal_Title
    Nanotechnology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-125X
  • Type

    jour

  • DOI
    10.1109/TNANO.2002.807389
  • Filename
    1176972