• DocumentCode
    2400954
  • Title

    A new surface analysis method for semiconductor manufacturing, based on surface-potential measurements

  • Author

    Schuetten, R. ; Kleber, M. ; Jerenz, M. ; Gregorius, I. ; Zimmermann, B. ; Kaesmaier, R. ; Hickson, J. ; Tamayo, N. ; Newcomb, R.

  • Author_Institution
    Qimonda Dresden GmbH & Co. OHG, Dresden, Germany
  • fYear
    2009
  • fDate
    10-12 May 2009
  • Firstpage
    169
  • Lastpage
    173
  • Abstract
    The introduction of new materials into the process flow, the continuous reduction of device sizes, and the change in thermal budgets from new technologies, all require a continuous assessment and, if necessary, a development of new monitoring capabilities for defects and contamination in the semiconductor industry. Besides the detection of physical defects with optical wafer inspection systems, the detection of thin monolayer contamination, so called ldquonon-visiblerdquo residues (NVR), requires increasing attention. These surface contaminations change the local chemical state of the substrate surface and can be detected by the measurement of the surface potential difference across the wafer. In this study, we describe a method for improving analytical capabilities for contamination control in support of process engineering and development.
  • Keywords
    semiconductor technology; surface contamination; surface potential; nonvisible residues; optical wafer inspection system; semiconductor contamination; semiconductor manufacturing; surface analysis method; surface potential measurement; thermal budget; thin monolayer contamination; Chemicals; Electronics industry; Inspection; Monitoring; Optical materials; Pollution measurement; Semiconductor device manufacture; Semiconductor materials; Substrates; Surface contamination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Semiconductor Manufacturing Conference, 2009. ASMC '09. IEEE/SEMI
  • Conference_Location
    Berlin
  • ISSN
    1078-8743
  • Print_ISBN
    978-1-4244-3614-9
  • Electronic_ISBN
    1078-8743
  • Type

    conf

  • DOI
    10.1109/ASMC.2009.5155977
  • Filename
    5155977