• DocumentCode
    549678
  • Title

    Modeling of width-quantization-induced variations in logic FinFETs for 22nm and beyond

  • Author

    Lin, Chung-Hsun ; Haensch, Wilfried ; Oldiges, Phil ; Wang, Hailing ; Williams, Richard ; Chang, Josephine ; Guillorn, Michael ; Bryant, Andres ; Yamashita, Tenko ; Standaert, Theodorus ; Bu, Huiming ; Leobandung, Effendi ; Khare, Mukesh

  • Author_Institution
    Res. Div., T.J. Watson Res. Center, IBM, Yorktown Heights, NY, USA
  • fYear
    2011
  • fDate
    14-16 June 2011
  • Firstpage
    16
  • Lastpage
    17
  • Abstract
    The nature of FinFET devices prohibits continuous width scaling and introduces a digitization of device width. As a consequence, devices are comprised of arrays of Fins ranging from one (SRAM) to a few tens of Fins. This introduces an intrinsic variation in the device that is absent in conventional planar devices. To build a reliable circuit, model parameters have to be provided that take account of the correct scaling behavior with increasing number of Fins for the composite device. For the first time we address in this paper how a composite Fin device can be modeled correctly. The statistical drive current and leakage current distribution are accurately modeled using the proposed methodology. We show that the DIBL vs. SS relationship for the composite device is an easily accessible indicator for the intrinsic variations observed in a composite device.
  • Keywords
    MOSFET; semiconductor device models; semiconductor device reliability; SRAM; composite device; continuous width scaling; intrinsic variation; leakage current distribution; logic FinFET; size 22 nm; statistical drive current; width-quantization-induced variation modeling; Computational modeling; FinFETs; Integrated circuit modeling; Logic gates; Semiconductor process modeling; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Technology (VLSIT), 2011 Symposium on
  • Conference_Location
    Honolulu, HI
  • ISSN
    0743-1562
  • Print_ISBN
    978-1-4244-9949-6
  • Type

    conf

  • Filename
    5984611