• DocumentCode
    415644
  • Title

    Statistical analysis of nanocrystal memory reliability

  • Author

    Compagnoni, C. Monzio ; Ielmini, Daniele ; Spinelli, A.S. ; Lacaita, A.L. ; Gerardi, C. ; Lombardo, Salvatore

  • Author_Institution
    Dipt. di Elettronica e Informazione, Politecnico di Milano, Italy
  • fYear
    2004
  • fDate
    25-29 April 2004
  • Firstpage
    509
  • Lastpage
    514
  • Abstract
    This work presents a statistical analysis of nanocrystal (NC) memory reliability. Characterization of data retention for 256 Kbit arrays after high-field stress provides evidence for an anomalous tail of one-few leaky cells. The statistical impact of the anomalous tail (about 10-6-10-5) is shown to be largely reduced as compared to conventional Flash arrays with continuous floating gate. The SILC immunity in our samples is discussed based on discrete-storage effects. Finally, we present a new Monte Carlo model for lateral tunneling in the NC network, which quantitatively accounts for the observed anomalous tail in the array.
  • Keywords
    Monte Carlo methods; flash memories; leakage currents; semiconductor device models; semiconductor device reliability; semiconductor storage; Monte Carlo model; anomalous tail; data retention; flash arrays; high-field stress; lateral tunneling; nanocrystal memory reliability; one-few leaky cells; statistical analysis; statistical impact; Flash memory cells; Leakage current; Monte Carlo methods; Nanocrystals; Nonvolatile memory; Silicon; Statistical analysis; Stress; Tail; Tunneling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability Physics Symposium Proceedings, 2004. 42nd Annual. 2004 IEEE International
  • Print_ISBN
    0-7803-8315-X
  • Type

    conf

  • DOI
    10.1109/RELPHY.2004.1315381
  • Filename
    1315381