• DocumentCode
    1764970
  • Title

    New Analytic Model of Coupling and Substrate Capacitance in Nanometer Technologies

  • Author

    Shomalnasab, Gholamreza ; Lihong Zhang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Memorial Univ. of Newfoundland, St. John´s, NL, Canada
  • Volume
    23
  • Issue
    7
  • fYear
    2015
  • fDate
    42186
  • Firstpage
    1268
  • Lastpage
    1280
  • Abstract
    In this paper, we propose a new modeling method for computing coupling capacitance between interconnects on the same or different layers and substrate capacitance in the nanometer very large-scale integration circuits. The model has been developed based on a template, which is obtained on the basis of electric field approximation and followed by a curve-fitting technique to reach promising accuracy. To verify our proposed model, we develop scripts to generate thousands of layout samples which cover all possible geometric situations for CMOS 180-, 90-, and 65-nm technologies. The proposed model is compared with previously published works with reference to the extracted results from commercial tools. The experimental results show that the estimation errors of our method are much lower than 10% (2%-4% or less for most of the cases) but with significantly reduced computation effort. The proposed model is a general methodology that can be used for any nanometer technologies with different geometric parameters.
  • Keywords
    CMOS integrated circuits; VLSI; approximation theory; capacitance; curve fitting; nanoelectronics; CMOS technology; coupling capacitance; curve-fitting technique; electric field approximation; nanometer technology; size 180 nm; size 65 nm; size 90 nm; substrate capacitance; very large-scale integration circuits; Capacitance; Computational modeling; Couplings; Equations; Mathematical model; Metals; Substrates; Capacitance; extraction; fringe component; fringe component.;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2014.2334492
  • Filename
    6860303