Isotopic Evolution Modeling

Isotopic Evolution Modeling is a computational methodology within fuel cycle simulation that predicts the temporal changes in isotopic composition of nuclear materials resulting from neutron-induced reactions, radioactive decay, and material processing, thereby enabling the assessment of fuel behavior, waste characteristics, and resource utilization throughout the nuclear fuel cycle.

99

Publications

5.8K

Citations

343

Authors

214

Institutions

Publications per year

2017–2026

21

Authors

343

  1. MJ
    Martin J. Whitehouse

    Swedish Museum of Natural History, Sweden

    4 publications · 160 citations

    4

    h-index

  2. SB
    S. B. Jacobsen

    Planetary Science Institute, United States

    4 publications · 992 citations

    4

    h-index

  3. JL
    Jeonghoon Lee

    Ewha Womans University, South Korea

    3 publications · 92 citations

    3

    h-index

  4. XF
    Xiahong Feng

    Dartmouth College, United States

    3 publications · 163 citations

    3

    h-index

  5. JW
    James W. Kirchner

    Swiss Federal Institute for Forest, Snow and Landscape Research, Switzerland

    3 publications · 163 citations

    3

    h-index

1–5 of 343

Venues

  1. Earth and Planetary Science Letters

    12 publications · 1.4K citations

    12

    h-index

  2. Geochimica et Cosmochimica Acta

    10 publications · 994 citations

    10

    h-index

  3. Chemical Geology

    7 publications · 309 citations

    7

    h-index

  4. Precambrian Research

    4 publications · 316 citations

    4

    h-index

  5. Water Resources Research

    4 publications · 192 citations

    4

    h-index

1–5