• DocumentCode
    1532880
  • Title

    Two-dimensional doping profile characterization of MOSFETs by inverse modeling using I-V characteristics in the subthreshold region

  • Author

    Lee, Zachary K. ; McIlrath, Michael B. ; Antoniadis, Dimitri A.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
  • Volume
    46
  • Issue
    8
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    1640
  • Lastpage
    1649
  • Abstract
    In this paper, we present a new technique for the characterization of two-dimensional (2-D) doping profiles in deep submicron MOSFETs using current-voltage (I-V) characteristics in the subthreshold region. The main advantages of the technique are as follows. (1) It is capable of extracting 2-D doping profile (including channel-length) of deep submicron devices because of its immunity to parasitic resistance, capacitance, noise, and fringing electric fields. (2) It does not require any special test structures since only subthreshold I-V data are used. (3) It is nondestructive. (4) It has very little dependence on mobility and mobility models. (5) It is easy to use since data collection and preparation are straightforward. (6) It can be extended to the accurate calibration of mobility and mobility models using I-V characteristics at high current levels, because errors associated with uncertainties in doping profiles are removed
  • Keywords
    MOSFET; calibration; doping profiles; semiconductor device models; I-V characteristics; MOSFETs; calibration; channel-length; current levels; fringing electric fields; inverse modeling; parasitic resistance; subthreshold region; two-dimensional doping profile characterization; Calibration; Data mining; Doping profiles; Electric resistance; MOSFETs; Noise level; Nondestructive testing; Parasitic capacitance; Semiconductor process modeling; Two dimensional displays;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/16.777152
  • Filename
    777152