A novel array-based test methodology for local process variation monitoring

Tseng Chin Luo*, Chia-Tso Chao, Michael Shien Yang Wu, Kuo Tsai Li, Chin C. Hsia, Huan Chi Tseng, Philip A. Fisher, Chuen Uan Huang, Yuan Yao Chang, Samuel C. Pan, Konrad K.L. Young

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    12 Scopus citations

    Abstract

    As process technologies continually advance, local process variation has greatly increased and gradually become one of the most critical factors for integrated circuit manufacturing. To monitor local process variation, a large number of devices-under-test (DUTs) in close proximity must be measured. In this paper, we present a novel array-based test structure to characterize local process variation with limited area overhead. The proposed test structure can guarantee high measurement accuracy by application of the test techniques proposed in this paper: hardware IR compensation, voltage bias elevation, and leakage-current cancelation. Furthermore, the DUT layout need not be modified for the proposed test structure. Thus, the measured variation exactly reflects the reality in the manufacturing environment. The measured results from the few most advanced process-technology nodes demonstrate the effectiveness and efficiency of the proposed test structure in quantifying local process variation.

    Original languageEnglish
    Article number5648466
    Pages (from-to)280-293
    Number of pages14
    JournalIEEE Transactions on Semiconductor Manufacturing
    Volume24
    Issue number2
    DOIs
    StatePublished - May 2011

    Keywords

    • Automatic test equipment
    • measurement techniques
    • mismatch
    • process variation
    • test structure design
    • test structures
    • transistor array

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