Random Microstructure Modeling

Random Microstructure Modeling is a computational framework within the study of Representative Volume Elements that generates statistically equivalent, stochastically varying representations of heterogeneous material microstructures to enable predictive analysis of effective physical properties.

118

Publications

5.8K

Citations

343

Authors

164

Institutions

Publications per year

2017–2026

36

Authors

343

  1. GS
    George Stefanou

    Aristotle University of Thessaloniki, Greece

    3 publications · 238 citations

    3

    h-index

  2. FW
    François Willot

    École Nationale Supérieure des Mines de Paris, France

    3 publications · 78 citations

    3

    h-index

  3. DS
    Dimitrios Savvas

    Aristotle University of Thessaloniki, Greece

    3 publications · 238 citations

    3

    h-index

  4. MO
    Martin Ostoja‐Starzewski

    University of Illinois Urbana-Champaign, United States

    3 publications · 655 citations

    3

    h-index

  5. VS
    Volker Schmidt

    Universität Ulm, Germany

    3 publications · 91 citations

    3

    h-index

1–5 of 343

Venues

  1. Computational Materials Science

    14 publications · 614 citations

    12

    h-index

  2. Composite Structures

    7 publications · 241 citations

    7

    h-index

  3. 5

    h-index

  4. Journal of Composite Materials

    JCM · 4 publications · 126 citations

    4

    h-index

  5. Composites Science and Technology

    4 publications · 211 citations

    4

    h-index

1–5