• DocumentCode
    1317515
  • Title

    Understanding LER-Induced MOSFET V_{T} Variability—Part I: Three-Dimensional Simulation of Large Statistical Samples

  • Author

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

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. Of Glasgow, Glasgow, UK
  • Volume
    57
  • Issue
    11
  • fYear
    2010
  • Firstpage
    2801
  • Lastpage
    2807
  • Abstract
    In this paper, using computationally intensive 3-D simulations in a grid computing environment, we perform a detailed study of line-edge-roughness (LER)-induced threshold voltage variability in contemporary MOSFETs. Statistical ensembles of tens of thousands transistors have been simulated. Our analysis has been predominantly performed on a 35-nm channel-length bulk MOSFET test bed, widely used in previous studies to investigate the impact of different statistical variability sources. Comprehensive data mining and statistical analysis provide information about the shape of the distribution of the device threshold voltage, which is significantly non-Gaussian. Strong nonlinear correlation has been observed between the threshold voltage and the average channel length of the simulated devices. The width dependence of LER-induced threshold voltage variability has also been simulated and analyzed. Additional confirmation of the basic conclusions from the simulation and statistical analysis of the 35-nm test bed transistor is provided by the simulation of a 42-nm physical channel-length bulk LP MOSFET, a 32-nm channel-length thin-body silicon-on-insulator (SOI) MOSFET, and a 22-nm channel-length double-gate (DG) MOSFET.
  • Keywords
    MOSFET; silicon-on-insulator; statistical analysis; average channel length; channel length thin body silicon-on-insulator; double gate MOSFET; line-edge-roughness; size 22 nm; size 35 nm; size 42 nm; statistical analysis; threshold voltage variability; MOSFETs; Numerical simulation; Statistical analysis; Threshold voltage; Transistors; MOSFET; line edge roughness; numerical simulations; statistical analysis; variability;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2010.2067731
  • Filename
    5567146