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

Authors

1.1K

  1. GE
    George Em Karniadakis

    Brown University, United States

    14 publications · 2.1K citations

    12

    h-index

  2. XS
    Xueguan Song

    Dalian University of Technology, China

    7 publications · 148 citations

    9

    h-index

  3. QZ
    Qi Zhou

    Huazhong University of Science and Technology, China

    8 publications · 391 citations

    9

    h-index

  4. PP
    Paris Perdikaris

    University of Pennsylvania, United States

    8 publications · 960 citations

    8

    h-index

  5. PJ
    Ping Jiang

    Huazhong University of Science and Technology, China

    7 publications · 380 citations

    7

    h-index

1–5 of 1.1K

Venues

  1. Structural and Multidisciplinary Optimization

    23 publications · 1.3K citations

    20

    h-index

  2. arXiv (Cornell University)

    Repository · 18 publications · 636 citations

    14

    h-index

  3. 12

    h-index

  4. Chinese Journal of Aeronautics

    CJA · 8 publications · 261 citations

    9

    h-index

  5. Aerospace Science and Technology

    AST · 6 publications · 270 citations

    9

    h-index

1–5