• DocumentCode
    1866998
  • Title

    Low-κ and High-κ breakdown statistics with variability: Clustering model versus reconstruction methodology (Invited)

  • Author

    Wu, Ernest ; Baozhen Li ; Stathis, James

  • Author_Institution
    Res. Div., IBM, Essex Junction, VT, USA
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    31
  • Lastpage
    34
  • Abstract
    In this work, we first review the characteristics and assumptions of the time-dependent clustering model and the sampling-based reconstruction methodology, two different approaches in dealing with breakdown statistics involving variability for modern BEOL low-κ and FEOL high-κ dielectrics. Then, similarities and differences of these two methodologies will be discussed in comparison with experiments. We show both methodologies can yield comparable results within the validity of their assumptions for dielectrics with small thickness variations. On the other hand, for BEOL low-k dielectrics with large variations, clustering model can be applied in both singlemode non-Weibull and bimodal distributions while the reconstruction methodology cannot be used.
  • Keywords
    Weibull distribution; electric breakdown; sampling methods; BEOL low-κ dielectrics; FEOL high-κ dielectrics; bimodal distributions; breakdown statistics; sampling-based reconstruction methodology; singlemode non-Weibull distributions; time-dependent clustering model; Correlation; Data models; Dielectric breakdown; Dielectrics; Mathematical model; Reconstruction algorithms; Bimodal; Clustering model; Non-uniform dielectric breakdown; Reliability; TDDB; Variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Physical and Failure Analysis of Integrated Circuits (IPFA), 2015 IEEE 22nd International Symposium on the
  • Conference_Location
    Hsinchu
  • Type

    conf

  • DOI
    10.1109/IPFA.2015.7224325
  • Filename
    7224325