• DocumentCode
    1002592
  • Title

    Statistical Model for Random Telegraph Noise in Flash Memories

  • Author

    Compagnoni, Christian Monzio ; Gusmeroli, Riccardo ; Spinelli, Alessandro S. ; Lacaita, Andrea L. ; Bonanomi, Mauro ; Visconti, Angelo

  • Author_Institution
    Politecnico di Milano, Milan
  • Volume
    55
  • Issue
    1
  • fYear
    2008
  • Firstpage
    388
  • Lastpage
    395
  • Abstract
    This paper presents a new physics-based statistical model for random telegraph noise in Flash memories. From the probabilistic superposition of elementary Markov processes describing the trapping/detrapping events taking place in the cell tunnel oxide, the model can explain the main features of the random telegraph noise threshold-voltage instability. The results on the statistical distribution of the threshold-voltage difference between two subsequent read accesses show good agreement between measurements and model predictions, even considering the time drift of the distribution tails. Moreover, the model gives a detailed spectroscopic analysis of the oxide defects responsible for the random telegraph noise, allowing a spatial and energetic localization of the traps involved in the threshold-voltage instability process.
  • Keywords
    Markov processes; flash memories; semiconductor device noise; statistical distributions; cell tunnel oxide; elementary Markov process; flash memories; physics-based statistical model; probabilistic superposition; random telegraph noise; spectroscopic analysis; statistical distribution; threshold-voltage instability; trapping-detrapping events; Flash memory; Fluctuations; Markov processes; Predictive models; Semiconductor device noise; Spectroscopy; Statistical distributions; Substrates; Telegraphy; Time measurement; 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.2007.910605
  • Filename
    4399663