Cross-section Sensitivity Analysis

Cross-Section Sensitivity Analysis is a computational method in nuclear reactor physics that quantifies the influence of uncertainties in neutron-nuclear reaction cross-sections on key reactor performance parameters by systematically evaluating the relative change in those parameters with respect to perturbations in the cross-section data.

72

Publications

2.3K

Citations

221

Authors

99

Institutions

Publications per year

2017–2026

20

Authors

221

  1. DG
    Dan Gabriel Cacuci

    University of South Carolina, United States

    8 publications · 148 citations

    8

    h-index

  2. RF
    Ruixian Fang

    University of South Carolina, United States

    8 publications · 148 citations

    8

    h-index

  3. HR
    Herschel Rabitz

    Princeton University, United States

    4 publications · 111 citations

    4

    h-index

  4. JF
    Jeffrey Favorite

    Los Alamos National Laboratory, United States

    4 publications · 95 citations

    4

    h-index

  5. EO
    E.M. Oblow

    Oak Ridge National Laboratory, United States

    4 publications · 118 citations

    4

    h-index

1–5 of 221

Venues

  1. Nuclear Science and Engineering

    15 publications · 410 citations

    13

    h-index

  2. IEEE Transactions on Nuclear Science

    6 publications · 225 citations

    6

    h-index

  3. Annals of Nuclear Energy

    6 publications · 146 citations

    6

    h-index

  4. The Journal of Chemical Physics

    4 publications · 111 citations

    4

    h-index

  5. Energies

    4 publications · 93 citations

    4

    h-index

1–5