• DocumentCode
    3288375
  • Title

    Modeling differential Through-Silicon-Vias (TSVs) with large signal, non-linear capacitance

  • Author

    Yaping Zhou ; Huabo Chen ; Xing Wang ; Wenjie Mao ; Wenjun Shi ; Yu Chang

  • Author_Institution
    Nvidia Corp., Santa Clara, CA, USA
  • fYear
    2012
  • fDate
    21-24 Oct. 2012
  • Firstpage
    276
  • Lastpage
    279
  • Abstract
    Through Silicon Vias (TSVs) have been mostly modeled assuming that the TSV metal-insulator-semiconductor (MIS) interface is not biased and silicon substrate is just a lossy, low conductive medium. These modeling methods are based on small signal analysis and don´t consider semiconductor carrier accumulation or depletion due to static biasing or large signals. This paper argues that the complementary nature of differential signals introduces a virtual ground and that the voltage difference between a TSV and the virtual ground automatically biases TSV MIS interface, causing carrier accumulation or depletion. In the meantime, large digital signal swing makes the depletion region to change its width dynamically, which introduces a non-linear, large signal TSV capacitance. This capacitance is modeled analytically in this paper, a new equivalent circuit model for differential TSVs are proposed, and the impact on the performance of high-speed differential signals is examined in channel simulations.
  • Keywords
    MIS structures; capacitance; equivalent circuits; three-dimensional integrated circuits; TSV metal-insulator-semiconductor interface; equivalent circuit model; h-speed differential signals; large signal nonlinear capacitance; through-silicon-vias; virtual ground; voltage difference; Analytical models; Capacitance; Integrated circuit modeling; Mathematical model; Silicon; Substrates; Through-silicon vias;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Performance of Electronic Packaging and Systems (EPEPS), 2012 IEEE 21st Conference on
  • Conference_Location
    Tempe, AZ
  • Print_ISBN
    978-1-4673-2539-4
  • Electronic_ISBN
    978-1-4673-2537-0
  • Type

    conf

  • DOI
    10.1109/EPEPS.2012.6457895
  • Filename
    6457895