Shot Count Optimization

Shot Count Optimization is a methodological framework in computational imaging science that systematically determines the minimal number of electron or photon exposures required to achieve a desired resolution or signal-to-noise ratio in mask design, thereby balancing fabrication efficiency and patterning fidelity.

17

Publications

276

Citations

92

Authors

24

Institutions

Publications per year

2017–2026

0

Publications

17

1–5 of 17

Authors

92

  1. IB
    Ingo Bork

    Siemens (United States), United States

    3 publications · 46 citations

    3

    h-index

  2. RI
    Ryoichi Inanami

    Toshiba (Japan), Japan

    3 publications · 44 citations

    3

    h-index

  3. AF
    Aki Fujimura

    JEOL (Japan), Japan

    3 publications · 49 citations

    3

    h-index

  4. YM
    Yusuke Matsunaga

    Fujitsu (Japan), Japan

    2 publications · 26 citations

    2

    h-index

  5. TK
    Tadashi Komagata

    JEOL (Japan), Japan

    2 publications · 31 citations

    2

    h-index

1–5 of 92