Brownian Dynamics Simulation

Brownian Dynamics Simulation is a computational modeling technique that belongs to the class of stochastic simulation methods, specifically designed to describe the time evolution of particles undergoing random motion in a fluid medium by incorporating hydrodynamic interactions and thermal fluctuations while neglecting inertial effects.

1.5K

Publications

76.9K

Citations

2.7K

Authors

862

Institutions

Publications per year

2017–2026

253

Authors

2.7K

  1. HL
    Hartmut Löwen

    Heinrich Heine University Düsseldorf, Germany

    39 publications · 2.7K citations

    30

    h-index

  2. JA
    J. Andrew McCammon

    University of California San Diego, United States

    43 publications · 6.2K citations

    28

    h-index

  3. AM
    Alexander M. Berezhkovskii

    National Institutes of Health, United States

    22 publications · 1.1K citations

    18

    h-index

  4. PS
    Patrick S. Doyle

    Massachusetts Institute of Technology, United States

    18 publications · 851 citations

    17

    h-index

  5. SA
    Stuart A. Allison

    Georgia State University, United States

    20 publications · 1.2K citations

    17

    h-index

1–5 of 2.7K

Venues

  1. The Journal of Chemical Physics

    315 publications · 18K citations

    64

    h-index

  2. Physical Review Letters

    PRL · 67 publications · 6K citations

    43

    h-index

  3. Physical Review E

    PRE · 108 publications · 4.5K citations

    38

    h-index

  4. Macromolecules

    80 publications · 3.3K citations

    35

    h-index

  5. Biophysical Journal

    56 publications · 3.6K citations

    33

    h-index

1–5