• DocumentCode
    1128607
  • Title

    Comprehensive Analysis of Random Telegraph Noise Instability and Its Scaling in Deca–Nanometer Flash Memories

  • Author

    Ghetti, Andrea ; Compagnoni, Christian Monzio ; Spinelli, Alessandro S. ; Visconti, Angelo

  • Author_Institution
    Numonyx, R&D-Technol. Dev., Agrate Brianza, Italy
  • Volume
    56
  • Issue
    8
  • fYear
    2009
  • Firstpage
    1746
  • Lastpage
    1752
  • Abstract
    This paper presents a comprehensive investigation of random telegraph noise (RTN) in deca-nanometer Flash memories, considering both the nor and the nand architecture. The statistical distribution of the threshold voltage instability is analyzed in detail, evidencing that the slope of its exponential tails is the critical parameter determining the scaling trend for RTN. By means of 3-D TCAD simulations, the slope is shown to be the result of cell geometry, atomistic substrate doping, and random placement of traps over the cell active area. Finally, the slope dependence on cell geometry (width, length, and oxide thickness), doping, and bias conditions is summarized in a powerful formula that is able to predict the RTN instabilities in deca-nanometer Flash memories.
  • Keywords
    NAND circuits; NOR circuits; circuit noise; flash memories; random noise; statistical analysis; technology CAD (electronics); 3-D TCAD simulations; NAND architecture; NOR architecture; atomistic substrate doping; cell geometry; deca-nanometer flash memories; random telegraph noise instability; statistical distribution; threshold voltage instability; trap random placement; Electron traps; Flash memory; Geometry; Nonvolatile memory; Probability distribution; Semiconductor device noise; Solid modeling; Statistical distributions; Substrates; Telegraphy; Threshold voltage; Flash memories; random telegraph noise (RTN); semiconductor device modeling; threshold voltage instability;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2009.2024031
  • Filename
    5159507