• DocumentCode
    3543923
  • Title

    Improving analog/RF performance of multi-gate devices through multi-dimensional design optimization with awareness of variations and parasitics

  • Author

    Yuchao Liu ; Ru Huang ; Runsheng Wang ; Jiaojiao Ou ; Yangyuan Wang

  • Author_Institution
    Key Lab. of Microelectron. Devices & Circuits, Peking Univ., Beijing, China
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Abstract
    In this paper, a new design optimization method is put forward, which can significantly improve the analog/RF performance of MG devices with impacts of parasitics and process variations considered. The gate-all-around silicon nanowire transistors (SNWTs) are taken as example, the analog/RF performance, such as cutoff frequency (fT), transconductance efficiency (gm/Id), intrinsic gain (gm/gds) and comprehensive figure of merit (FOM) are optimized by utilizing the proposed method. Through design optimization, higher fT of SNWTs can be obtained compared with planar FETs, which can approach the ITRS projection, manifesting the promising potential of SNWTs for high frequency circuit applications. The optimal regions of independent variable vector (X) of SNWTs are given, which can provide useful guidelines for MG device-based circuit design.
  • Keywords
    elemental semiconductors; field effect transistors; nanowires; silicon; FOM; ITRS projection; MG device-based circuit design; SNWT; Si; analog-RF performance; cutoff frequency; figure of merit; gate-all-around silicon nanowire transistors; high frequency circuit applications; independent variable vector; intrinsic gain; multidimensional design optimization; multigate devices; parasitics; planar FET; process variations; transconductance efficiency; Design optimization; Field effect transistors; Logic gates; Performance evaluation; Quantum capacitance; Radio frequency; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electron Devices Meeting (IEDM), 2012 IEEE International
  • Conference_Location
    San Francisco, CA
  • ISSN
    0163-1918
  • Print_ISBN
    978-1-4673-4872-0
  • Electronic_ISBN
    0163-1918
  • Type

    conf

  • DOI
    10.1109/IEDM.2012.6479043
  • Filename
    6479043