Granular Flow Modeling

Granular Flow Modeling is a computational framework within particle methods that specifically simulates the collective behavior of discrete, macroscopic particles interacting through contact forces and frictional dynamics in dense granular systems.

2.1K

Publications

112.5K

Citations

4.2K

Authors

1.3K

Institutions

Publications per year

2017–2026

591

Authors

4.2K

  1. JM
    Julio M. Ottino

    Northwestern University, United States

    31 publications · 2K citations

    24

    h-index

  2. AY
    Aibing Yu

    UNSW Sydney, Australia

    30 publications · 1.5K citations

    21

    h-index

  3. RM
    Richard M. Lueptow

    Northwestern University, United States

    25 publications · 1.1K citations

    19

    h-index

  4. JK
    J.A.M. Kuipers

    Eindhoven University of Technology, Netherlands

    23 publications · 1.3K citations

    18

    h-index

  5. KK
    Ken Kamrin

    Massachusetts Institute of Technology, United States

    20 publications · 1.7K citations

    18

    h-index

1–5 of 4.2K

Venues

  1. Powder Technology

    270 publications · 12K citations

    58

    h-index

  2. Chemical Engineering Science

    105 publications · 6.5K citations

    44

    h-index

  3. Journal of Fluid Mechanics

    60 publications · 6.1K citations

    35

    h-index

  4. Granular Matter

    100 publications · 4.2K citations

    35

    h-index

  5. Physical Review Letters

    PRL · 48 publications · 3.9K citations

    34

    h-index

1–5