Adaptive Shape Functions
Adaptive Shape Functions is a computational framework in finite element analysis that dynamically modifies its basis functions during simulation to better capture local solution features, distinguishing itself from static shape functions through its ability to adapt to evolving solution characteristics such as gradients or singularities.
52
Publications
2.4K
Citations
146
Authors
99
Institutions
Publications per year
2017–2026
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99
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
12 publications
614 citations

Soochow University
Suzhou, China
3 h-index
8 publications
352 citations
Siemens (Germany)
Munich, Germany
2 h-index
2 publications
126 citations
University of Michigan
Ann Arbor, United States
2 h-index
3 publications
229 citations
Amirkabir University of Technology
Tehran, Iran
2 h-index
5 publications
196 citations

TU Wien
Vienna, Austria
2 h-index
2 publications
37 citations
Ho Chi Minh City University of Technology
Ho Chi Minh City, Vietnam
2 h-index
2 publications
141 citations
Naval Medical Research Command
Silver Spring, United States
1 h-index
1 publications
17 citations
1–8 of 99
7 publications · 384 citations
7
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2 publications · 103 citations
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2 publications · 87 citations
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1 publications · 11 citations
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SMS · 1 publications · 108 citations
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