• DocumentCode
    2207862
  • Title

    Long Range Statistical Lifetime Prediction of UltraThin SiO2 Oxides: Influence of Accelerated Ageing Methods and Extrapolation Models

  • Author

    Pic, D. ; Goguenheim, D. ; Ogier, J.-L.

  • Author_Institution
    Rousset Central Characterization, STMicroelectronics, Rousset
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    528
  • Lastpage
    531
  • Abstract
    A large database of time dependent dielectric breakdown has been obtained for 2.3 nm and 3.2 nm SiO2 thin oxides. The reliability models used to qualify theses oxides, have been tested using an accurate experimental error evaluation. The experimental method used has been investigated and relaxation phenomena have been treated in this particular case. The area dependence has been checked for 2.3nm in order to confirm the validity of this law. The activation energies corresponding to the dominant degradation mechanisms have been extracted over a temperature range from 50degC to 125degC and these values have been discussed. The voltage extrapolation models have been compared for positive polarity on P and N type substrate. This study shows that a power voltage model is well predictive for both P substrate in inversion regime and N substrate in accumulation regime
  • Keywords
    ageing; dielectric relaxation; extrapolation; semiconductor device breakdown; semiconductor device models; semiconductor device reliability; silicon alloys; 2.3 nm; 3.2 nm; 50 to 125 C; N substrate; P substrate; SiO2; accelerated ageing method; accumulation regime; dielectric breakdown; experimental error evaluation; extrapolation models; inversion regime; relaxation phenomena; statistical lifetime prediction; thin oxide; Accelerated aging; Degradation; Extrapolation; Integrated circuit reliability; Predictive models; Stress; Substrates; Temperature distribution; Testing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microelectronics, 2006 25th International Conference on
  • Conference_Location
    Belgrade
  • Print_ISBN
    1-4244-0117-8
  • Type

    conf

  • DOI
    10.1109/ICMEL.2006.1651019
  • Filename
    1651019