• DocumentCode
    1302155
  • Title

    A Novel Trapping/Detrapping Model for Defect Profiling in High- k Materials Using the Two-Pulse Capacitance–Voltage Technique

  • Author

    Aguado, D. Ruiz ; Govoreanu, B. ; Zhang, W. Dong ; Jurczak, M. ; De Meyer, K. ; Van Houdt, J.

  • Author_Institution
    IMEC, Leuven, Belgium
  • Volume
    57
  • Issue
    10
  • fYear
    2010
  • Firstpage
    2726
  • Lastpage
    2735
  • Abstract
    The continuous reduction of the dimensions of floating-gate-based nonvolatile memories brings the necessity of substituting the current dielectrics with materials of higher dielectric constant (high- k dielectrics). However, most of the high- k materials studied show a large number of electrically active defects, which mitigates their benefit. The study of these defects, or traps, is necessary in order to fully understand the electrical properties of high-k materials. In this paper, the recently introduced two-pulse capacitance-voltage characterization technique is used, together with a newly developed physics-based model, in order to extract the space and energy location of the traps throughout the high-k dielectrics in advanced memories. An accurate agreement between measurements and simulations is achieved. For the first time, it is shown that traps located in the top part of the bandgap of the high-k materials can be probed and their location in space and energy, as well as their density, can be accurately determined.
  • Keywords
    dielectric materials; random-access storage; defect profiling; floating-gate-based nonvolatile memories; high-k dielectrics; high-k materials; trapping/detrapping model; two-pulse capacitance-voltage characterization; Dielectrics; Electron traps; High K dielectric materials; Logic gates; Voltage measurement; High-$k$ dielectrics; nonvolatile memories; semiconductor device modelling;
  • fLanguage
    English
  • Journal_Title
    Electron Devices, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9383
  • Type

    jour

  • DOI
    10.1109/TED.2010.2063292
  • Filename
    5555960