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.
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6.7K
Citations
454
Authors
236
Institutions
Publications per year
2017–2026
52
Parents
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The heterogeneous multiscale method
Assyr Abdulle, E Weinan, Björn Engquist et al. · Acta Numerica · 2012 · 600 citations · Full text
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Massachusetts Institute of Technology
Cambridge, United States
10 h-index
22 publications
942 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
21 publications
912 citations

University of Waterloo
Waterloo, Canada
6 h-index
10 publications
251 citations
The University of Texas at Austin
Austin, United States
6 h-index
10 publications
730 citations
Decision Systems (United States)
Northbrook, United States
6 h-index
13 publications
397 citations
Princeton University
Princeton, United States
5 h-index
9 publications
1.1K citations
University of Southern California
Los Angeles, United States
5 h-index
10 publications
519 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
5 h-index
9 publications
320 citations
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11 publications · 507 citations
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9 publications · 230 citations
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5 publications · 444 citations
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MMS · 5 publications · 98 citations
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4 publications · 166 citations
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