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

Authors

773

  1. WH
    Wenbing Hu

    Nanjing University, China

    30 publications · 1.2K citations

    22

    h-index

  2. JS
    Jeffrey Skolnick

    Georgia Institute of Technology, United States

    17 publications · 820 citations

    16

    h-index

  3. YN
    Yijing Nie

    Jiangsu University, China

    16 publications · 461 citations

    13

    h-index

  4. AK
    Andrzej Koliński

    University of Warsaw, Poland

    13 publications · 684 citations

    13

    h-index

  5. ZZ
    Zhiping Zhou

    Jiangsu University, China

    14 publications · 326 citations

    12

    h-index

1–5 of 773

Venues

  1. The Journal of Chemical Physics

    68 publications · 4.3K citations

    35

    h-index

  2. The Journal of Physical Chemistry B

    27 publications · 1.2K citations

    21

    h-index

  3. Macromolecules

    20 publications · 1K citations

    18

    h-index

  4. 12

    h-index

  5. Macromolecular Theory and Simulations

    10 publications · 271 citations

    10

    h-index

1–5