Multi-fidelity Modeling
Multi-Fidelity Modeling is a computational modeling approach that integrates data or simulations from multiple levels of fidelity—ranging from low-accuracy, computationally inexpensive approximations to high-accuracy, resource-intensive models—to achieve accurate predictions with reduced computational cost.
379
Publications
17.5K
Citations
1.1K
Authors
364
Institutions
Publications per year
2017–2026
274
Variants
Multi-fidelity Modelling
Parents
379
1.1K
12
h-index
9
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9
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8
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1–5 of 1.1K
364

Huazhong University of Science and Technology
Wuhan, China
13 h-index
50 publications
2.6K citations
Georgia Institute of Technology
Atlanta, United States
12 h-index
33 publications
1.8K citations
National University of Singapore
Singapore, Singapore
11 h-index
24 publications
857 citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
25 publications
2.6K citations
Brown University
Providence, United States
11 h-index
19 publications
4K citations
Stanford University
Stanford, United States
10 h-index
18 publications
687 citations
Dalian University of Technology
Dalian, China
10 h-index
32 publications
839 citations

Imperial College London
London, United Kingdom
10 h-index
28 publications
839 citations
1–8 of 364
23 publications · 1.3K citations
20
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Repository · 18 publications · 636 citations
14
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11 publications · 566 citations
12
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CJA · 8 publications · 261 citations
9
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AST · 6 publications · 270 citations
9
h-index
1–5