• DocumentCode
    3395007
  • Title

    Modeling of defect propagation/growth for early yield impact prediction in VLSI fabrication

  • Author

    Li, Xiaolei ; Strojwas, Andrzej ; Reddy, Mahesh ; Milor, Linda ; Lin, Yung-Tao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1997
  • fDate
    10-12 Sep 1997
  • Firstpage
    263
  • Lastpage
    268
  • Abstract
    Particulate contamination deposited on silicon wafers is typically the dominant reason for yield loss in VLSI manufacturing. The transformation of contaminating particles into defects and then electrical faults is a very complex process which depends on the defect location, size, material and the underlying IC topography. A rigorous topography simulator, METROPOLE has been developed to allow the prediction and correlation of the critical physical parameters (material, size and location) of contamination in the manufacturing process to device defects. The results for a large number of defect samples simulated using the above approach were compared with data gathered from the AMD-Sunnyvale fabline. A good match was obtained indicating the accuracy of this method which provided a framework for developing contamination to defect propagation/growth macromodels. We have demonstrated that the understanding of defect transformation can be applied to early yield impact prediction
  • Keywords
    VLSI; integrated circuit yield; semiconductor process modelling; surface contamination; IC topography simulator; METROPOLE; Si; VLSI fabrication; defect growth; defect propagation; electrical fault; macromodel; particulate contamination; silicon wafer; yield; Computer aided manufacturing; Contamination; Etching; Fabrication; Lithography; Manufacturing processes; Predictive models; Silicon; Surfaces; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing Conference and Workshop, 1997. IEEE/SEMI
  • Conference_Location
    Cambridge, MA
  • ISSN
    1078-8743
  • Print_ISBN
    0-7803-4050-7
  • Type

    conf

  • DOI
    10.1109/ASMC.1997.630746
  • Filename
    630746