• DocumentCode
    48836
  • Title

    Predictive Simulation and Benchmarking of Si and Ge pMOS FinFETs for Future CMOS Technology

  • Author

    Shifren, L. ; Aitken, Robert ; Brown, A.R. ; Chandra, Vishal ; Binjie Cheng ; Riddet, C. ; Alexander, Craig L. ; Cline, Brian ; Millar, C. ; Sinha, S. ; Yeric, Greg ; Asenov, Asen

  • Author_Institution
    ARM Inc., San Jose, CA, USA
  • Volume
    61
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    2271
  • Lastpage
    2277
  • Abstract
    In this paper, we study and compare Si versus Ge pMOS FinFETs at advanced node dimensions using ensemble Monte Carlo simulations. It is found that due to large external resistance, lack of stressing methods, smaller bandgap, larger dielectric constant, and increased variability that in the absence of major innovation, Ge is not an ideal candidate for channel replacement material of pMOS in future CMOS technology generation FinFETs. In order for Ge to compete with Si, it would at a minimum require a stressing mechanism and improved contact resistance, but leakage and variability would still be a concern for low-power applications.
  • Keywords
    CMOS integrated circuits; MOSFET; Monte Carlo methods; elemental semiconductors; germanium; low-power electronics; silicon; Ge; Ge pMOS FinFET; Si; Si pMOS FinFET; advanced node dimensions; bandgap; channel replacement material; contact resistance; dielectric constant; ensemble Monte Carlo simulations; external resistance; future CMOS technology generation FinFET; leakage; low-power applications; stressing mechanism; stressing methods; variability; Contact resistance; Electromagnetic compatibility; FinFETs; Resistance; Silicon; Stress; Substrates; 10-nm node; 7-nm node; CMOS; CMOS variability; FinFET; MOSFET; SiGe; SiGe.; advanced node process; device physics; germanium; process technology;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2014.2323018
  • Filename
    6832528