Grain Size Modeling

Grain Size Modeling is a computational or statistical framework that characterizes the distribution of particle diameters within a granular material by predicting or simulating the relative abundances of different grain sizes based on empirical, theoretical, or process-based principles.

708

Publications

34.5K

Citations

2.1K

Authors

821

Institutions

Publications per year

2017–2026

213

Variants

Grain Size Distribution Modeling

Authors

2.1K

  1. JE
    José E. Andrade

    California Institute of Technology, United States

    4 publications · 277 citations

    5

    h-index

  2. MB
    Marc Bernacki‫

    Centre National de la Recherche Scientifique, France

    4 publications · 103 citations

    5

    h-index

  3. DZ
    Dana Zöllner

    Otto-von-Guericke-Universität Magdeburg, Germany

    5 publications · 176 citations

    5

    h-index

  4. RM
    Randall M. German

    Pennsylvania State University, United States

    5 publications · 180 citations

    5

    h-index

  5. CS
    C. S. Pände

    United States Naval Research Laboratory, United States

    3 publications · 172 citations

    4

    h-index

1–5 of 2.1K

Venues

  1. Powder Technology

    28 publications · 1.5K citations

    21

    h-index

  2. Acta Materialia

    20 publications · 1.3K citations

    19

    h-index

  3. Computational Materials Science

    16 publications · 562 citations

    16

    h-index

  4. Scripta Materialia

    14 publications · 648 citations

    14

    h-index

  5. Materials Science and Engineering A

    16 publications · 749 citations

    13

    h-index

1–5