Multi-scale Inverse Problems

Multi-Scale Inverse Problems is an inverse problem framework that integrates information across multiple spatial, temporal, or functional scales to reconstruct underlying system properties, distinguishing itself from single-scale inverse methods by explicitly accounting for hierarchical or multi-resolution structures in both the forward model and the inversion process.

61

Publications

2.9K

Citations

157

Authors

109

Institutions

Publications per year

2017–2026

24

Authors

157

  1. CL
    Chein‐Shan Liu

    National Taiwan Ocean University, Taiwan

    3 publications · 82 citations

    3

    h-index

  2. NZ
    Nicholas Zabaras

    Cornell University, United States

    3 publications · 108 citations

    3

    h-index

  3. EL
    Eric L. Miller

    Tufts University, United States

    2 publications · 101 citations

    2

    h-index

  4. SA
    Simon Arridge

    University College London, United Kingdom

    2 publications · 656 citations

    2

    h-index

  5. RN
    Robert Nowak

    Warsaw University of Technology, Poland

    2 publications · 38 citations

    2

    h-index

1–5 of 157

Venues

  1. Inverse Problems

    7 publications · 890 citations

    7

    h-index

  2. 6

    h-index

  3. Journal of Computational Physics

    6 publications · 165 citations

    6

    h-index

  4. Engineering Analysis with Boundary Elements

    3 publications · 80 citations

    3

    h-index

  5. Composite Structures

    2 publications · 56 citations

    2

    h-index

1–5