Physically Based Particle Simulation

Physically Based Particle Simulation is a computational simulation methodology within particle systems that models the behavior of particles according to fundamental physical laws, distinguishing itself by ensuring dynamic accuracy through principled integration of forces, constraints, and conservation principles derived from physics.

186

Publications

11.6K

Citations

563

Authors

246

Institutions

Publications per year

2017–2026

39

Authors

563

  1. YO
    Yoshiharu Omura

    Kyoto University, Japan

    5 publications · 245 citations

    5

    h-index

  2. AP
    Andréa Prosperetti

    Johns Hopkins University, United States

    3 publications · 114 citations

    3

    h-index

  3. ID
    Iain D. Boyd

    University of Michigan, United States

    3 publications · 144 citations

    3

    h-index

  4. MX
    Ming Xia

    Central South University, China

    3 publications · 104 citations

    3

    h-index

  5. SK
    Seiichi Koshizuka

    The University of Tokyo, Japan

    3 publications · 94 citations

    3

    h-index

1–5 of 563

Venues

  1. Journal of Computational Physics

    18 publications · 1.2K citations

    17

    h-index

  2. Powder Technology

    14 publications · 1K citations

    14

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 8 publications · 270 citations

    8

    h-index

  4. ACM Transactions on Graphics

    TOG · 5 publications · 463 citations

    5

    h-index

  5. Chemical Engineering Science

    4 publications · 424 citations

    4

    h-index

1–5