Cross-section Processing

Cross-Section Processing is a computational procedure in Monte Carlo Radiation Transport that transforms raw nuclear data into application-specific, energy-dependent interaction probabilities by applying mathematical and physical models to generate structured, usable cross-section libraries for radiation simulation.

33

Publications

1.7K

Citations

120

Authors

51

Institutions

Publications per year

2017–2026

7

Authors

120

  1. KK
    K. Kołodziej

    University of Silesia in Katowice, Poland

    2 publications · 23 citations

    2

    h-index

  2. LL
    L.C. Leal

    Oak Ridge National Laboratory, United States

    2 publications · 32 citations

    2

    h-index

  3. CD
    C.H. Dasso

    University of Copenhagen, Denmark

    1 publications · 186 citations

    1

    h-index

  4. SM
    S. M. Qaim

    Forschungszentrum Jülich, Germany

    1 publications · 323 citations

    1

    h-index

  5. DK
    D. K. Holmes

    Oak Ridge National Laboratory, United States

    1 publications · 35 citations

    1

    h-index

1–5 of 120

Venues

  1. Computer Physics Communications

    6 publications · 383 citations

    6

    h-index

  2. Nuclear Science and Engineering

    2 publications · 51 citations

    2

    h-index

  3. 2

    h-index

  4. Annals of Nuclear Energy

    2 publications · 31 citations

    2

    h-index

  5. Journal of High Energy Physics

    JHEP · 2 publications · 284 citations

    2

    h-index

1–5