• DocumentCode
    42652
  • Title

    Physical-aware systematic multiple defect diagnosis

  • Author

    Po-Juei Chen ; Chieh-Chih Che ; Li, James Chien-Mo ; Shuo-Fen Kuo ; Pei-Ying Hsueh ; Chun-Yi Kuo ; Jih-Nung Lee

  • Author_Institution
    Grad. Inst. of Electron. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    8
  • Issue
    5
  • fYear
    2014
  • fDate
    Sep-14
  • Firstpage
    199
  • Lastpage
    209
  • Abstract
    This study presents a systematic defect diagnosis to identify `culprit physical features´ that are potentially responsible for yield loss. A `single location in-a-cluster´ technique is proposed to diagnose multiple defects that may not be diagnosed by traditional `single location at-a-time´ technique. A statistics technique, `analysis of variance´, is conducted to reduce noise from random defects. Simulations on five ISCAS´89 circuit demonstrate the effectiveness of the authors´ techniques. An experiment on an industrial design manufactured in 55 nm technology discovered a suspected culprit physical feature.
  • Keywords
    fault diagnosis; integrated circuit layout; integrated circuit reliability; statistical analysis; IC; ISCAS´89 circuit; analysis of variance; culprit physical feature identification; industrial design; noise reduction; physical-aware systematic multiple defect diagnosis; random defects; single location at-a-time technique; single location in-a-cluster technique; size 55 nm; statistics technique;
  • fLanguage
    English
  • Journal_Title
    Computers & Digital Techniques, IET
  • Publisher
    iet
  • ISSN
    1751-8601
  • Type

    jour

  • DOI
    10.1049/iet-cdt.2013.0104
  • Filename
    6882276