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

Authors

554

  1. KW
    Karen Willcox

    Massachusetts Institute of Technology, United States

    22 publications · 2.3K citations

    18

    h-index

  2. ME
    Michael Eldred

    Sandia National Laboratories, United States

    7 publications · 420 citations

    7

    h-index

  3. DA
    Douglas Allaire

    Texas A&M University, United States

    7 publications · 276 citations

    7

    h-index

  4. XS
    Xueguan Song

    Dalian University of Technology, China

    7 publications · 246 citations

    7

    h-index

  5. LL
    Leifur Leifsson

    Reykjavík University, Iceland

    6 publications · 154 citations

    6

    h-index

1–5 of 554

Venues

  1. AIAA Journal

    25 publications · 1.2K citations

    18

    h-index

  2. Journal of Aircraft

    10 publications · 419 citations

    10

    h-index

  3. Journal of Mechanical Design

    8 publications · 284 citations

    8

    h-index

  4. Journal of Computational Physics

    8 publications · 404 citations

    8

    h-index

  5. Structural and Multidisciplinary Optimization

    6 publications · 264 citations

    6

    h-index

1–5