Multi-scale Design Optimization

Multi-Scale Design Optimization is a computational framework within generative design optimization that integrates design decisions across multiple spatial or temporal scales, distinguishing itself by simultaneously optimizing system performance and material distribution at both global and local levels to achieve synergistic, scale-dependent objectives.

79

Publications

3.7K

Citations

296

Authors

125

Institutions

Publications per year

2017–2026

55

Authors

296

  1. ZD
    Zunyi Duan

    Northwestern Polytechnical University, China

    6 publications · 200 citations

    7

    h-index

  2. JY
    Jun Yan

    Dalian University of Technology, China

    6 publications · 299 citations

    7

    h-index

  3. MM
    Marco Montemurro

    Centre National de la Recherche Scientifique, France

    4 publications · 127 citations

    4

    h-index

  4. BX
    Bin Xu

    Northwestern Polytechnical University, China

    3 publications · 118 citations

    3

    h-index

  5. JK
    Janet K. Allen

    Georgia Institute of Technology, United States

    3 publications · 245 citations

    3

    h-index

1–5 of 296

Venues

  1. Structural and Multidisciplinary Optimization

    9 publications · 306 citations

    9

    h-index

  2. Composite Structures

    9 publications · 389 citations

    9

    h-index

  3. 5

    h-index

  4. Chemical Engineering Journal

    2 publications · 77 citations

    3

    h-index

  5. Composites Science and Technology

    2 publications · 282 citations

    3

    h-index

1–5