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
Parents
41
Takuya Kobayashi, Haruyasu Nagai, Masamichi Chino et al. · Journal of Nuclear Science and Technology · 2013 · 196 citations · Full text
Tianfeng Chai, Roland R. Draxler, Ariel Stein · Atmospheric Environment · 2015 · 62 citations · Full text
Natural Sciences, Earth Sciences, Environmental Sciences +17
1–5 of 41
160
3
h-index
3
h-index
Nanjing University of Aeronautics and Astronautics, China
3 publications · 89 citations
3
h-index
3
h-index
3
h-index
1–5 of 160
50
Tsinghua University
Beijing, China
4 h-index
11 publications
210 citations
Japan Atomic Energy Agency
Tōkai Mura, Japan
4 h-index
15 publications
1.1K citations
Key Laboratory of Nuclear Radiation and Nuclear Energy Technology
Shanghai, China
3 h-index
10 publications
187 citations

Nanjing University of Aeronautics and Astronautics
Nanjing, China
3 h-index
16 publications
482 citations
Institut de Radioprotection et de Sûreté Nucléaire
Fontenay-aux-Roses, France
3 h-index
3 publications
106 citations

National University of Defense Technology
Changsha, China
2 h-index
10 publications
296 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
4 publications
111 citations
China University of Mining and Technology
Xuzhou, China
2 h-index
8 publications
340 citations
1–8 of 50
7 publications · 197 citations
7
h-index
Repository · 3 publications · 47 citations
3
h-index
JNST · 3 publications · 234 citations
3
h-index
STNI · 2 publications · 96 citations
2
h-index
2 publications · 81 citations
2
h-index
1–5