• DocumentCode
    2909230
  • Title

    Predicting Integrated Circuit Reliability from Wafer Fabrication Technology Reliability Data

  • Author

    Tan, Cher Ming ; He, Feifei

  • Author_Institution
    Nanyang Technol. Univ., Singapore
  • fYear
    2007
  • fDate
    26-28 Sept. 2007
  • Firstpage
    267
  • Lastpage
    270
  • Abstract
    A reliability tool is developed to predict integrated circuit reliability simply from the wafer fabrication or foundry technology reliability test data, considering the various failure mechanisms acting simultaneously during the operation of an IC. The reliability of an IC as a function of operation time can be obtained, and the mean time to failure as well as the medium time to failure can be predicted before the IC is fabricated. An example of the application of the tool to 6T SRAM is used for the demonstration. The distribution of the failure mechanisms in the SRAM cell at different operation time can also be determined. This distribution helps us to identify the probably root causes for the early failure of the SRAM so that reliability improvement effort can be focused and effective. It is also shown that the reliability of the SRAM of different memory size can be very different even the fabrication technology reliability and the cell design remain unchanged.
  • Keywords
    SRAM chips; failure analysis; integrated circuit design; integrated circuit manufacture; integrated circuit reliability; integrated circuit testing; integrated memory circuits; SRAM cell design; failure mechanisms; foundry technology reliability test; integrated circuit reliability; wafer fabrication technology reliability; Circuit simulation; Circuit testing; Electromigration; Fabrication; Failure analysis; Integrated circuit modeling; Integrated circuit reliability; Integrated circuit technology; Integrated circuit testing; Random access memory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Circuits, 2007. ISIC '07. International Symposium on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0797-2
  • Electronic_ISBN
    978-1-4244-0797-2
  • Type

    conf

  • DOI
    10.1109/ISICIR.2007.4441849
  • Filename
    4441849