Assist Feature Optimization

Assist Feature Optimization is a computational methodology in mask design that systematically enhances the placement and configuration of sub-resolution assist features to improve pattern fidelity and process window in photolithography.

33

Publications

787

Citations

174

Authors

29

Institutions

Publications per year

2017–2026

2

Publications

33

Authors

174

  1. SH
    Stephen Hsu

    Augusta University, United States

    4 publications · 102 citations

    4

    h-index

  2. EH
    Eric Hendrickx

    IMEC, Belgium

    3 publications · 46 citations

    3

    h-index

  3. LW
    Lars W. Liebmann

    IBM (United States), United States

    3 publications · 70 citations

    3

    h-index

  4. LC
    Luoqi Chen

    ASML (Netherlands), Netherlands

    3 publications · 86 citations

    3

    h-index

  5. HL
    Huayu Liu

    Tianjin University of Science and Technology, China

    3 publications · 86 citations

    3

    h-index

1–5 of 174

Venues

  1. 15

    h-index

  2. 2

    h-index

  3. Applied Optics

    AO · 1 publications · 25 citations

    1

    h-index

  4. 1

    h-index

  5. Optical Microlithography XVIII

    1 publications · 10 citations

    1

    h-index

1–5