Source Term Prediction

Source Term Prediction is a computational method used in nuclear safety analysis that estimates the release of radioactive materials from a reactor core during an accident by modeling the timing, magnitude, and composition of the release based on fuel depletion characteristics and accident progression scenarios.

41

Publications

1.3K

Citations

160

Authors

50

Institutions

Publications per year

2017–2026

16

Authors

160

  1. WJ
    Wenbao Jia

    Nanjing University of Aeronautics and Astronautics, China

    3 publications · 89 citations

    3

    h-index

  2. QS
    Qing Shan

    Nanjing University of Aeronautics and Astronautics, China

    3 publications · 89 citations

    3

    h-index

  3. YL
    Yongsheng Ling

    Nanjing University of Aeronautics and Astronautics, China

    3 publications · 89 citations

    3

    h-index

  4. DH
    Daqian Hei

    Nanjing University of Aeronautics and Astronautics, China

    3 publications · 89 citations

    3

    h-index

  5. HN
    Haruyasu Nagai

    Japan Atomic Energy Agency, Japan

    3 publications · 246 citations

    3

    h-index

1–5 of 160

Venues

  1. Annals of Nuclear Energy

    7 publications · 197 citations

    7

    h-index

  2. 3

    h-index

  3. Journal of Nuclear Science and Technology

    JNST · 3 publications · 234 citations

    3

    h-index

  4. Science and Technology of Nuclear Installations

    STNI · 2 publications · 96 citations

    2

    h-index

  5. Journal of Environmental Radioactivity

    2 publications · 81 citations

    2

    h-index

1–5