• DocumentCode
    629146
  • Title

    Experimental study of channel doping concentration impacts on random telegraph signal noise and successful noise suppression by strain induced mobility enhancement

  • Author

    Chen, Jiann-Jong ; Higashi, Yu ; Hirano, Ikuya ; Mitani, Yasunori

  • Author_Institution
    Adv. LSI Technol. Lab., Toshiba Corp., Yokohama, Japan
  • fYear
    2013
  • fDate
    11-13 June 2013
  • Abstract
    Impacts of channel doping concentration on single-trap and multiple-trap random telegraph signal (RTS) noise are studied comprehensively in this work, including trap time constants, current fluctuation (ΔId/Id), and threshold voltage shift (ΔVth_rts). It is found that, higher channel doping not only degrades ΔId/Id and ΔVth_rts, but also enhances couplings between gate bias and trap time constants, which is experimentally observed for the first time. Moreover, aiming at RTS suppression in devices with inevitable channel doping, strain effects on RTS are studied. It is found that, RTS noise (Svg) as well as fluctuation amplitudes (ΔId/Id, ΔVth_rts) can be largely suppressed in strained pFETs with higher hole mobility. Underlying physical mechanisms are discussed and guidelines to decrease RTS noise are proposed.
  • Keywords
    current fluctuations; hole mobility; interference suppression; random noise; semiconductor doping; telegraphy; RTS noise suppression; channel doping concentration; current fluctuation; fluctuation amplitude; gate bias; hole mobility; multiple-trap random telegraph signal noise; physical mechanism; single-trap random telegraph signal noise; strain effect; strain induced mobility enhancement; threshold voltage shift; trap time constant; Couplings; Doping; Fluctuations; Logic gates; Noise; Resource description framework; Strain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Technology (VLSIT), 2013 Symposium on
  • Conference_Location
    Kyoto
  • ISSN
    0743-1562
  • Print_ISBN
    978-1-4673-5226-0
  • Type

    conf

  • Filename
    6576645