Simulation Of Diffusion Processes

Simulation of Diffusion Processes is a computational methodology that numerically approximates the temporal evolution of stochastic dynamical systems governed by diffusion equations, distinguishing itself through the explicit modeling of continuous-time random processes subject to drift and volatility forces.

696

Publications

35.8K

Citations

1.6K

Authors

744

Institutions

Publications per year

2017–2026

132

Authors

1.6K

  1. AL
    Antoine Lejay

    Institut Élie Cartan de Lorraine, France

    8 publications · 273 citations

    8

    h-index

  2. GO
    Gareth O. Roberts

    University of Warwick, United Kingdom

    7 publications · 683 citations

    7

    h-index

  3. JA
    J. Andrew McCammon

    University of California San Diego, United States

    6 publications · 241 citations

    6

    h-index

  4. LS
    Laura Sacerdote

    University of Turin, Italy

    5 publications · 170 citations

    6

    h-index

  5. AN
    Ahmed Nafidi

    Universidad de Granada, Spain

    6 publications · 110 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. Journal of Computational Physics

    28 publications · 1.5K citations

    19

    h-index

  2. The Journal of Chemical Physics

    30 publications · 1.2K citations

    19

    h-index

  3. Physical Review E

    PRE · 18 publications · 956 citations

    15

    h-index

  4. Journal of Electroanalytical Chemistry

    11 publications · 475 citations

    11

    h-index

  5. Physical Review Letters

    PRL · 10 publications · 720 citations

    10

    h-index

1–5