Wang-landau Sampling
Wang-Landau Sampling is a Monte Carlo method that iteratively refines the estimation of the density of states by adaptively modifying the energy histogram weights to achieve a flat energy sampling distribution, thereby enabling accurate computation of thermodynamic properties in complex systems.
174
Publications
8.6K
Citations
304
Authors
181
Institutions
Publications per year
2017–2026
18
Variants
Wang-landau Algorithm
Parents
174
On the inner workings of Monte Carlo codes
David Dubbeldam, Ariana Torres‐Knoop, Krista S. Walton · Molecular Simulation · 2013 · 428 citations · Full text
Fast algorithm to calculate density of states
R. E. Belardinelli, V. D. Pereyra · Physical Review E · 2007 · 229 citations · Full text
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181

University of Georgia
Athens, United States
16 h-index
49 publications
3K citations
ETH Zurich
Zurich, Switzerland
11 h-index
24 publications
2.7K citations

Oak Ridge National Laboratory
Oak Ridge, United States
10 h-index
18 publications
862 citations
Johannes Gutenberg University Mainz
Mainz, Germany
10 h-index
22 publications
1.5K citations
University of North Dakota
Grand Forks, United States
9 h-index
22 publications
712 citations

National and Kapodistrian University of Athens
Athens, Greece
9 h-index
27 publications
961 citations
Princeton University
Princeton, United States
7 h-index
13 publications
1.7K citations
Universidade Federal de Goiás
Goiânia, Brazil
6 h-index
13 publications
640 citations
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PRE · 38 publications · 2K citations
24
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26 publications · 1.3K citations
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PRL · 14 publications · 1.5K citations
14
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8 publications · 262 citations
8
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PRE · 6 publications · 84 citations
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