Snapshot-based Model Reduction
Snapshot-Based Model Reduction is a model reduction technique that constructs a reduced-order model by extracting dominant modes or basis functions from a collection of high-fidelity simulation snapshots, distinguished by its reliance on empirical data samples to approximate the solution manifold of a dynamical system.
61
Publications
3.8K
Citations
163
Authors
101
Institutions
Publications per year
2017–2026
20
Variants
Snapshot-based Model Order Reduction
Parents
61
1–5 of 61
163
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h-index
Scuola Internazionale Superiore di Studi Avanzati, Italy
2 publications · 41 citations
2
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2
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Scuola Internazionale Superiore di Studi Avanzati, Italy
2 publications · 41 citations
2
h-index
2
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1–5 of 163
101

Centre National de la Recherche Scientifique
Paris, France
4 h-index
9 publications
440 citations
Princeton University
Princeton, United States
2 h-index
3 publications
1.1K citations

Technische Universität Darmstadt
Darmstadt, Germany
2 h-index
5 publications
231 citations
Northwestern University
Evanston, United States
2 h-index
2 publications
88 citations

University of Padua
Padua, Italy
2 h-index
2 publications
93 citations
Pontifícia Universidade Católica do Rio de Janeiro
Rio de Janeiro, Brazil
2 h-index
2 publications
47 citations

Imperial College London
London, United Kingdom
2 h-index
6 publications
357 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
4 publications
182 citations
1–8 of 101
7 publications · 521 citations
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4 publications · 161 citations
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3 publications · 186 citations
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3 publications · 130 citations
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2 publications · 118 citations
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