• DocumentCode
    626699
  • Title

    Development of hybrid electrical model for CNT based Through Silicon Vias

  • Author

    Kannan, Kalapriya ; Kannan, S. ; Kim, Bumki ; Sang-Bock Cho

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alabama- Tuscaloosa, Tuscaloosa, AL, USA
  • fYear
    2013
  • fDate
    19-23 May 2013
  • Firstpage
    1022
  • Lastpage
    1026
  • Abstract
    This paper presents a hybrid electrical model of Carbon nanotube (CNT) based Through Silicon Via (TSV) using Metal Oxide Semiconductor (MOS) structural approach which takes into account factors such as substrate doping, operational frequency and voltage transmission levels. The MOS structural approach considers the CNT-based TSVs as a metal-oxide-semiconductor device, thereby resulting in a depletion capacitance which reduces the overall TSV capacitance. This affects the electrical performance of CNT-based TSVs, but has been ignored in previous models. Evaluation of electrical performance has been performed through S-parameter simulation of TSV and the simulation results have been compared with previously published electrical models of CNT-based TSV. The proposed hybrid electrical model shows CNT-based TSV better performance when compared with other published models.
  • Keywords
    MIS devices; S-parameters; carbon nanotubes; circuit simulation; integrated circuit modelling; nanotube devices; semiconductor doping; three-dimensional integrated circuits; vias; C; CNT; MOS; S-parameter simulation; TSV; carbon nanotube; depletion capacitance; electrical performance model; metal oxide semiconductor structural approach; operational frequency; substrate doping; through silicon vias; voltage transmission level; Capacitance; Carbon nanotubes; Inductance; Integrated circuit interconnections; Semiconductor process modeling; Silicon; Through-silicon vias;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2013 IEEE International Symposium on
  • Conference_Location
    Beijing
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4673-5760-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2013.6572023
  • Filename
    6572023