Weight Windows Generation
Weight Windows Generation is a computational method in adjoint transport theory that systematically defines spatially and energetically dependent weight thresholds to optimize particle importance sampling in Monte Carlo simulations by leveraging adjoint flux solutions as a guide for variance reduction.
14
Publications
560
Citations
31
Authors
14
Institutions
Publications per year
2017–2026
0
Parents
14
1–5 of 14
31
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14
Los Alamos National Laboratory
Los Alamos, United States
3 h-index
4 publications
57 citations

Oak Ridge National Laboratory
Oak Ridge, United States
2 h-index
7 publications
548 citations
North Carolina State University
Raleigh, United States
1 h-index
2 publications
44 citations
Charles University
Prague, Czechia
1 h-index
2 publications
90 citations
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
Nanjing, China
1 h-index
2 publications
100 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
88 citations

University of Windsor
Windsor, Canada
1 h-index
1 publications
50 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
1 publications
71 citations
1–8 of 14
5 publications · 300 citations
5
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Repository · 4 publications · 62 citations
4
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1 publications · 18 citations
1
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TOG · 1 publications · 45 citations
1
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1 publications · 71 citations
1
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1–5