Parallel Particle Simulation

Parallel Particle Simulation is a computational framework within particle-based simulation that employs parallel processing techniques to simultaneously update the states of multiple particles, thereby improving computational efficiency and scalability in simulating large-scale particle systems.

298

Publications

19.8K

Citations

1K

Authors

406

Institutions

Publications per year

2017–2026

58

Authors

1K

  1. JM
    Junichiro Makino

    The University of Tokyo, Japan

    9 publications · 710 citations

    9

    h-index

  2. VK
    Viktor K. Decyk

    University of California, Los Angeles, United States

    8 publications · 722 citations

    8

    h-index

  3. IF
    Ivo F. Sbalzarini

    ETH Zurich, Switzerland

    7 publications · 391 citations

    7

    h-index

  4. JA
    J. Apostolakis

    European Organization for Nuclear Research, Switzerland

    7 publications · 4.1K citations

    7

    h-index

  5. BF
    Benoit Forget

    Massachusetts Institute of Technology, United States

    5 publications · 1.1K citations

    5

    h-index

1–5 of 1K

Venues

  1. Computer Physics Communications

    35 publications · 2.2K citations

    23

    h-index

  2. Journal of Computational Physics

    18 publications · 1.2K citations

    17

    h-index

  3. Parallel Computing

    9 publications · 192 citations

    9

    h-index

  4. International Journal of Modern Physics C

    8 publications · 283 citations

    8

    h-index

  5. Journal of Physics Conference Series

    8 publications · 189 citations

    8

    h-index

1–5