• DocumentCode
    1079225
  • Title

    Approaching Optimal Characteristics of 10-nm High-Performance Devices: A Quantum Transport Simulation Study of Si FinFET

  • Author

    Khan, Hasanur R. ; Mamaluy, Denis ; Vasileska, Dragica

  • Author_Institution
    Arizona State Univ., Tempe
  • Volume
    55
  • Issue
    3
  • fYear
    2008
  • fDate
    3/1/2008 12:00:00 AM
  • Firstpage
    743
  • Lastpage
    753
  • Abstract
    We utilized a fully self-consistent quantum mechanical simulator based on the contact block reduction (CBR) method to optimize a 10 nm FinFET device and meet the International Technology Roadmap for Semiconductors (ITRS) projections for double-gate high-performance logic technology devices. We found that the device ON-current approaching the value projected by the ITRS can be obtained using a conventional unstrained Si channel and a SiO2 gate insulator. We also performed a detailed analysis of the gate leakage under different bias conditions. Our simulation results show that the quantum mechanical effects significantly enhance the intrinsic switching speed of the device. In our simulations, quantum confinement in both the gates and the channel has been taken into account self-consistently. The obtained theoretical value of the intrinsic switching speed for the considered FinFET device exceeds the ITRS-projected value.
  • Keywords
    MOSFET; quantum theory; semiconductor device models; silicon; silicon-on-insulator; FinFET; Si-SiO2; contact block reduction method; double-gate high-performance logic technology devices; gate leakage; intrinsic switching speed; quantum confinement; quantum transport simulation; self-consistent quantum mechanical simulator; size 10 nm; unstrained silicon channel; FinFETs; Gate leakage; Insulation; Logic devices; MOSFETs; Optimization methods; Performance analysis; Quantum mechanics; Semiconductor devices; Voltage; FinFETs; gate leakage; optimized FinFET; quantum effects; quantum transport;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2007.915387
  • Filename
    4455780