• DocumentCode
    1369122
  • Title

    Analysis of Threshold Voltage Distribution Due to Random Dopants: A 100 000-Sample 3-D Simulation Study

  • Author

    Reid, Dave ; Millar, Campbell ; Roy, Gareth ; Roy, Scott ; Asenov, Asen

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Glasgow, Glasgow, UK
  • Volume
    56
  • Issue
    10
  • fYear
    2009
  • Firstpage
    2255
  • Lastpage
    2263
  • Abstract
    Using the Glasgow ldquoatomisticrdquo simulator, we have performed 3D statistical simulations of random-dopant-induced threshold voltage variation in state-of-the-art 35- and 13-nm bulk MOSFETs consisting of statistical samples of 105 or more microscopically different transistors. Simulation on such an unprecedented scale has been enabled by grid technology, which allows the distribution and the monitoring of very large ensembles on heterogeneous computational grids, as well as the automated handling of large amounts of output data. The results of these simulations show a pronounced asymmetry in the distribution of the MOSFET threshold voltages, which increases with transistor scaling. A comprehensive statistical analysis enabled by the large sample size reveals the origin of this observed asymmetry, provides a detailed insight into the underlying physical processes, and enables the statistical enhancement of simulations of random-dopant-induced threshold voltage variation.
  • Keywords
    MOSFET; doping profiles; nanoelectronics; semiconductor device models; semiconductor doping; statistical analysis; 3D simulation study; Glasgow atomistic simulator; MOSFET threshold voltage distribution analysis; comprehensive statistical analysis; heterogeneous computational grid technology; random-dopants; size 13 nm; size 35 nm; state-of-the-art bulk MOSFET; Analytical models; CMOS technology; Computational modeling; Distributed computing; Grid computing; MOSFETs; Microscopy; Random access memory; Shape; Statistical analysis; Statistical distributions; Threshold voltage; MOSFET; numerical simulations; random dopants; statistical analysis; variability;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2009.2027973
  • Filename
    5238564