Self-diffusion Simulation

Self-Diffusion Simulation is a computational modeling approach that quantifies the spontaneous movement of particles within a homogeneous system over time by tracking individual trajectories in the absence of concentration gradients, thereby distinguishing it from other transport simulations that rely on external driving forces or inter-diffusion mechanisms.

273

Publications

16.1K

Citations

729

Authors

362

Institutions

Publications per year

2017–2026

33

Authors

729

  1. GA
    Gregory A. Voth

    University of Chicago, United States

    6 publications · 882 citations

    6

    h-index

  2. TK
    T. Keyes

    Boston University, United States

    6 publications · 362 citations

    6

    h-index

  3. JR
    James R. Chelikowsky

    University of Minnesota, United States

    3 publications · 83 citations

    3

    h-index

  4. NJ
    Niall J. English

    University College Dublin, Ireland

    3 publications · 181 citations

    3

    h-index

  5. BJ
    B. J. Berne

    Columbia University, United States

    3 publications · 548 citations

    3

    h-index

1–5 of 729

Venues

  1. The Journal of Chemical Physics

    54 publications · 4.7K citations

    36

    h-index

  2. The Journal of Physical Chemistry B

    18 publications · 1.2K citations

    17

    h-index

  3. Molecular Physics

    9 publications · 466 citations

    9

    h-index

  4. Physical Review Letters

    PRL · 8 publications · 577 citations

    8

    h-index

  5. Physical Review E

    PRE · 8 publications · 275 citations

    8

    h-index

1–5