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

Authors

7.7K

  1. DF
    Daan Frenkel

    Institute for Atomic and Molecular Physics, Netherlands

    16 publications · 2.6K citations

    16

    h-index

  2. JS
    Jeffrey Skolnick

    Georgia Institute of Technology, United States

    16 publications · 874 citations

    15

    h-index

  3. KB
    Kurt Binder

    Johannes Gutenberg University Mainz, Germany

    19 publications · 764 citations

    15

    h-index

  4. AK
    Andrzej Koliński

    University of Warsaw, Poland

    14 publications · 608 citations

    14

    h-index

  5. DA
    David A. Kofke

    University at Buffalo, State University of New York, United States

    15 publications · 849 citations

    14

    h-index

1–5 of 7.7K

Venues

  1. The Journal of Chemical Physics

    386 publications · 26.3K citations

    81

    h-index

  2. Physical Review Letters

    PRL · 104 publications · 19.5K citations

    58

    h-index

  3. Physical review. B, Condensed matter

    PRB · 69 publications · 4.5K citations

    34

    h-index

  4. Molecular Physics

    58 publications · 6.5K citations

    33

    h-index

  5. Journal of Chemical Theory and Computation

    JCTC · 51 publications · 2.2K citations

    30

    h-index

1–5