Reduced-order Surrogates
Reduced-Order Surrogates is a computational modeling construct that belongs to the class of reduced-order models, distinguished by its purpose of approximating high-fidelity or full-order simulations with significantly lower computational cost while preserving essential system dynamics and enabling rapid evaluation in multi-query or real-time scenarios.
184
Publications
9.3K
Citations
522
Authors
243
Institutions
Publications per year
2017–2026
106
Parents
184
1–5 of 184
522
9
h-index
6
h-index
6
h-index
Scuola Internazionale Superiore di Studi Avanzati, Italy
6 publications · 248 citations
6
h-index
5
h-index
1–5 of 522
243
Politecnico di Milano
Milan, Italy
11 h-index
40 publications
1.4K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
10 h-index
17 publications
1.4K citations
Virginia Tech
Blacksburg, United States
9 h-index
15 publications
1K citations
Stanford University
Stanford, United States
7 h-index
17 publications
1.3K citations
Florida State University
Tallahassee, United States
7 h-index
10 publications
543 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
13 publications
843 citations
University of Stuttgart
Stuttgart, Germany
5 h-index
12 publications
270 citations

Scuola Internazionale Superiore di Studi Avanzati
Trieste, Italy
5 h-index
13 publications
480 citations
1–8 of 243
16 publications · 721 citations
16
h-index
9 publications · 620 citations
9
h-index
7 publications · 411 citations
7
h-index
6 publications · 206 citations
6
h-index
MSSP · 5 publications · 214 citations
5
h-index
1–5