• DocumentCode
    1480749
  • Title

    Statistical Evaluation of Process Damage Using an Arrayed Test Pattern in a Large Number of MOSFETs

  • Author

    Watabe, Shunichi ; Teramoto, Akinobu ; Abe, Kenichi ; Fujisawa, Takafumi ; Miyamoto, Naoto ; Sugawa, Shigetoshi ; Ohmi, Tadahiro

  • Author_Institution
    Grad. Sch. of Eng., Tohoku Univ., Sendai, Japan
  • Volume
    57
  • Issue
    6
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    1310
  • Lastpage
    1318
  • Abstract
    Evaluating the statistical variations of MOSFETs is important for realizing accurate analog circuits and large-scale-integration devices. A new evaluation method for the statistical variation of the electrical characteristics of MOSFETs is presented. We have developed a test circuit for understanding the statistical and local variations of MOSFETs in a very short time. We demonstrate that the electrical characteristics in more than one million MOSFETs, such as the threshold voltage and the subthreshold swing (S-Factor), are measured in 30 min and that the measured results are very efficient in developing the fabrication process, the process equipment, and the device structure to reduce the statistical and local characteristic variation.
  • Keywords
    MOSFET; semiconductor device testing; statistical analysis; MOSFET; S-factor; analog circuits; arrayed test pattern; electrical characteristics; fabrication process; large-scale-integration devices; process damage statistical variation evaluation; subthreshold swing; test circuit; threshold voltage; Circuit testing; Electric variables; Electric variables measurement; Energy consumption; Impurities; Insulation; MOSFETs; Plasma measurements; Silicon; Threshold voltage; Fluctuation; metal–oxide–silicon field-effect transistor (MOSFET); plasma damage; statistical evaluation; test structure; variation;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2010.2046080
  • Filename
    5456150