Hierarchical Multiscale Modeling
Hierarchical Multiscale Modeling is a multiscale modeling framework that systematically integrates distinct scales of physical phenomena through sequentially nested, one-way coupled models, where information is passed from finer to coarser scales in a top-down or bottom-up structure without feedback loops, thereby enabling the prediction of macro-scale behavior based on micro-scale constitutive or structural details.
221
Publications
14.8K
Citations
698
Authors
328
Institutions
Publications per year
2017–2026
74
Variants
Hierarchical Multiscale Modelling
221
An overview of full-waveform inversion in exploration geophysics
J. Virieux, S. Operto · Geophysics · 2009 · 3.6K citations
1–5 of 221
698
7
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Hong Kong University of Science and Technology, Hong Kong SAR China
6 publications · 608 citations
6
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5
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4
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3
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1–5 of 698
328
University of Delaware
Newark, United States
7 h-index
16 publications
1K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
23 publications
8.5K citations
Massachusetts Institute of Technology
Cambridge, United States
7 h-index
13 publications
441 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
26 publications
1.2K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
13 publications
1.2K citations
University of California, Berkeley
Berkeley, United States
6 h-index
11 publications
345 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
11 publications
453 citations
University of Iowa
Iowa City, United States
5 h-index
14 publications
451 citations
1–8 of 328
9 publications · 634 citations
9
h-index
6 publications · 377 citations
6
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5 publications · 255 citations
5
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5 publications · 215 citations
5
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5 publications · 93 citations
5
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1–5