Monte Carlo Sampling
Monte Carlo Sampling is a stochastic conformational sampling method that generates molecular configurations through random perturbations accepted or rejected based on an energy-biased criterion to approximate the thermodynamic ensemble of states.
3.4K
Publications
267.1K
Citations
7.7K
Authors
2K
Institutions
Publications per year
2017–2026
567
3.4K
<tt>emcee</tt>: The MCMC Hammer
Publications of the Astronomical Society of the Pacific · 2013 · 11.9K citations · Full text
Computing, Computer Science, Physics +14
1–5 of 3.4K
7.7K
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University at Buffalo, State University of New York, United States
15 publications · 849 citations
14
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1–5 of 7.7K
2K

Centre National de la Recherche Scientifique
Paris, France
37 h-index
353 publications
17.7K citations
University of Cambridge
Cambridge, United Kingdom
34 h-index
117 publications
8.8K citations
University of California, Berkeley
Berkeley, United States
32 h-index
134 publications
9.3K citations

Cornell University
Ithaca, United States
32 h-index
101 publications
14.1K citations
Los Alamos National Laboratory
Los Alamos, United States
31 h-index
87 publications
7.7K citations
University of Chicago
Chicago, United States
29 h-index
65 publications
7.4K citations
Stanford University
Stanford, United States
29 h-index
74 publications
6.2K citations
Carnegie Mellon University
Pittsburgh, United States
28 h-index
77 publications
10.2K citations
1–8 of 2K
386 publications · 26.3K citations
81
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PRL · 104 publications · 19.5K citations
58
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PRB · 69 publications · 4.5K citations
34
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58 publications · 6.5K citations
33
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JCTC · 51 publications · 2.2K citations
30
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