Cross-section Generation

Cross-Section Generation is the computational process of deriving energy-dependent nuclear interaction probabilities, expressed as effective areas per target nucleus, from fundamental physical data and material properties for use in multigroup neutron transport calculations.

119

Publications

6.3K

Citations

383

Authors

150

Institutions

Publications per year

2017–2026

32

Authors

383

  1. GC
    Go Chiba

    Hokkaido University, Japan

    4 publications · 135 citations

    4

    h-index

  2. WS
    Won Sik Yang

    Argonne National Laboratory, United States

    4 publications · 151 citations

    4

    h-index

  3. EF
    E. Fridman

    Helmholtz-Zentrum Dresden-Rossendorf, Germany

    4 publications · 181 citations

    4

    h-index

  4. AY
    Akio Yamamoto

    Nagoya University, Japan

    4 publications · 79 citations

    4

    h-index

  5. LC
    Liangzhi Cao

    Xi'an Jiaotong University, China

    2 publications · 37 citations

    3

    h-index

1–5 of 383

Venues

  1. Nuclear Engineering and Technology

    7 publications · 121 citations

    8

    h-index

  2. Annals of Nuclear Energy

    8 publications · 249 citations

    8

    h-index

  3. Computer Physics Communications

    6 publications · 494 citations

    7

    h-index

  4. Journal of Nuclear Science and Technology

    JNST · 7 publications · 191 citations

    7

    h-index

  5. Nuclear Science and Engineering

    7 publications · 313 citations

    7

    h-index

1–5