M. Wilson

Semilab SDI
  • 2.4.2021 The Phenomenon of Charge Activated Visibility of Electrical Defects In 4H-SiC; Application for Comprehensive Non-Contact Electrical and UV-PL Imaging and Recognition of Critical Defects

    M. Wilson, Semilab SDI
    David Greenock, X-Fab
    Dmitriy Marinskiy, Semilab SDI, Tampa, FL,
    Carlos Almeida, Semilab SDI
    John D’Amico, Semilab SDI
    J. Lagowski, Semilab SDI
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  • 2.6.2021 Kelvin Force Microscopy and Micro-Raman Correlation Study of Triangular Defects in 4H-SiC

    Dmitriy Marinskiy, Semilab SDI, Tampa, FL,
    M. Wilson, Semilab SDI
    Carlos Almeida, Semilab SDI
    S. Savtchouk, Semilab SDI,
    J. Lagowski, Semilab SDI
    S. Toth, Semilab ZRT
    L. Badeeb, Semilab ZRT
    A. Faragó, Semilab ZRT
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  • 15.4.2023 Noncontact Measurement of Doping with Enhanced Throughput and High Precision for Wide Bandgap Wafer Manufacturing

    M. Wilson, Semilab SDI
    Carlos Almeida, Semilab SDI
    I. Shekerov, Semilab SDI
    B. Schrayer, Semilab SDI
    A. Savtchouk, Semilab SDI
    B. Wilson, Semilab SDI
    J. Lagowski, Semilab SDI

    15.4.2023 Marshall Wilson SDI CSMantech 2023 Photoneutralization Manuscript rev3

  • 11.2.4.2024 High Throughput Wafer Characterization for Manufacturing Needs of SiC and Other WBG Technologies

    M. Wilson, Semilab SDI
    Carlos Almeida, Semilab SDI
    I. Shekerov, Semilab SDI
    B. Schrayer, Semilab SDI
    A. Savtchouk, Semilab SDI
    B. Wilson, Semilab SDI
    J. Lagowski, Semilab SDI
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  • 10B.2 – Macro and Micro-Scale Non-Contact Imaging of Electrically Active Extended Defects in Merged PiN Schottky Diode Devices

    F. Faisal, Nexperia
    N. Steller, Nexperia
    R. Karhu, Fraunhofer IISB
    B. Kallinger, Fraunhofer IISB
    G. Polisski, Semilab Germany GmbH
    M. Wilson, Semilab SDI
    A. Savtchouk, Semilab SDI
    L. Guitierrez, Semilab SDI
    Carlos Almeida, Semilab SDI
    C. Soto, Semilab SDI
    B. Wilson, Semilab SDI
    Dmitriy Marinskiy, Semilab SDI, Tampa, FL,
    A. Wincukiewicz, Semilab SDI
    J. Lagowski, Semilab SDI

    10B.2 Final.2025

    Abstract
    This study presents a novel approach to device yield estimation based on the non-contact, corona-based QUAD(Quality, Uniformity, and Defects) technique for inline defect mapping in SiC epitaxial layers. The approach is applied to a merged PiN Schottky diode manufacturing process and is compared to final wafer level electrical data. A new analysis method for QUAD defect mapping is introduced, incorporating die yield bin maps based on indie depletion voltage values, allowing for a direct comparison with final electrical device performance. Micro-scale, QUAD and voltage data within each individual diode can gain further insight into the electrical nature of the defects causing the device failure. The results demonstrate a strong correlation between the inline QUAD bin map results and final device electrical properties, highlighting the potential of QUAD as a practical and powerful inline tool. This technique offers a complementary approach to UVPL defect imaging, identifying electrically active defects and enhancing estimations of the final production yield.