Multidisciplinary Shape Optimization
Multidisciplinary Shape Optimization is a systematic optimization framework that integrates shape design processes across multiple interacting physical disciplines, distinguished by its simultaneous consideration of coupled phenomena such as fluid-structure interaction, thermal-mechanical effects, or aerothermoelasticity within a unified shape parameterization and objective function.
58
Publications
3K
Citations
159
Authors
64
Institutions
Publications per year
2017–2026
9
Parents
58
1–5 of 58
159
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64

Langley Research Center
Hampton, United States
6 h-index
17 publications
958 citations
Stanford University
Stanford, United States
3 h-index
5 publications
911 citations

University of Jyväskylä
Jyväskylä, Finland
3 h-index
6 publications
316 citations

Dassault Aviation (France)
Paris, France
2 h-index
2 publications
146 citations
University of Washington
Seattle, United States
2 h-index
3 publications
80 citations

Shanghai Jiao Tong University
Shanghai, China
2 h-index
6 publications
180 citations

Indian Institute of Technology Bombay
Mumbai, India
2 h-index
5 publications
211 citations
University of Southampton
Southampton, United Kingdom
2 h-index
4 publications
414 citations
1–8 of 64
7 publications · 645 citations
7
h-index
4 publications · 285 citations
4
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3 publications · 462 citations
3
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Conference · 2 publications · 94 citations
2
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2 publications · 50 citations
2
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1–5