Dynamic Monte Carlo
Dynamic Monte Carlo is a stochastic simulation method that belongs to the class of Monte Carlo techniques, distinguished by its explicit modeling of time-dependent processes through event-driven or kinetic mechanisms rather than equilibrium sampling.
372
Publications
15.6K
Citations
773
Authors
336
Institutions
Publications per year
2017–2026
48
Parents
372
1–5 of 372
773
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1–5 of 773
336
Nanjing University
Nanjing, China
20 h-index
79 publications
2.9K citations
Jiangsu University
Zhenjiang, China
13 h-index
101 publications
2.5K citations

Zhejiang University
Hangzhou, China
12 h-index
30 publications
720 citations

Washington University in St. Louis
St Louis, United States
12 h-index
29 publications
1.7K citations
Leipzig University
Leipzig, Germany
10 h-index
29 publications
913 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
10 h-index
43 publications
2.1K citations

Centre National de la Recherche Scientifique
Paris, France
9 h-index
19 publications
948 citations
University of California, Berkeley
Berkeley, United States
8 h-index
17 publications
892 citations
1–8 of 336
68 publications · 4.3K citations
35
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27 publications · 1.2K citations
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20 publications · 1K citations
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PRE · 16 publications · 464 citations
12
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10 publications · 271 citations
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