Stochastic Multiscale Modeling

Stochastic Multiscale Modeling is a computational framework that integrates probabilistic descriptions of uncertainty into the hierarchical modeling of physical phenomena across multiple spatial or temporal scales to capture variability and randomness inherent in complex multiscale systems.

161

Publications

6.7K

Citations

454

Authors

236

Institutions

Publications per year

2017–2026

52

Authors

454

  1. AS
    Alan S. Willsky

    Massachusetts Institute of Technology, United States

    6 publications · 248 citations

    6

    h-index

  2. LR
    Luis Ricardez‐Sandoval

    University of Waterloo, Canada

    4 publications · 92 citations

    5

    h-index

  3. LN
    Ludovic Noels

    University of Liège, Belgium

    4 publications · 111 citations

    4

    h-index

  4. RG
    Roger Ghanem

    University of Southern California, United States

    4 publications · 230 citations

    4

    h-index

  5. GK
    Grigoriy Kimaev

    University of Waterloo, Canada

    4 publications · 92 citations

    4

    h-index

1–5 of 454

Venues

  1. 11

    h-index

  2. Journal of Computational Physics

    9 publications · 230 citations

    9

    h-index

  3. Composite Structures

    5 publications · 444 citations

    5

    h-index

  4. Multiscale Modeling and Simulation

    MMS · 5 publications · 98 citations

    5

    h-index

  5. PLoS Computational Biology

    4 publications · 166 citations

    4

    h-index

1–5