Multifidelity Modeling
Multifidelity Modeling is a computational modeling approach that integrates information from multiple sources of varying fidelity—ranging from low-accuracy, computationally inexpensive approximations to high-accuracy, expensive simulations or experiments—to construct a more efficient and accurate surrogate model than could be achieved using high-fidelity data alone.
189
Publications
10K
Citations
554
Authors
211
Institutions
Publications per year
2017–2026
135
Variants
Multifidelity Modelling
Parents
189
1–5 of 189
554
18
h-index
7
h-index
7
h-index
7
h-index
6
h-index
1–5 of 554
211
Massachusetts Institute of Technology
Cambridge, United States
22 h-index
66 publications
4.6K citations
University of Michigan
Ann Arbor, United States
10 h-index
18 publications
689 citations
American Institute of Aeronautics and Astronautics
Reston, United States
10 h-index
19 publications
1.5K citations
Sandia National Laboratories
Albuquerque, United States
9 h-index
18 publications
1K citations
Dalian University of Technology
Dalian, China
7 h-index
24 publications
912 citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
7 h-index
10 publications
178 citations
Brown University
Providence, United States
7 h-index
10 publications
1.1K citations
Stanford University
Stanford, United States
6 h-index
16 publications
943 citations
1–8 of 211
25 publications · 1.2K citations
18
h-index
10 publications · 419 citations
10
h-index
8 publications · 284 citations
8
h-index
8 publications · 404 citations
8
h-index
6 publications · 264 citations
6
h-index
1–5