Neural network-based aeroelastic system identification for predicting flutter of high flexibility wings

Q Qing Guo (School of Materials Science and Engineering, Henan Institute of Advanced Technology) X Xiaoqiang Li (Key Scientific Research Base on Paleolithic Human Evolution and Paleogenetics (State Cultural Heritage Administration), Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences) Z Zhijie Zhou (Department of Chemistry and the Hong Kong Branch of Chinese National Engineering Research Centre for Tissue Restoration & Reconstruction, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR 999077, China) D Dexiao Ma Y Yuzhuo Wang (Department of Urologic Sciences, Faculty of Medicine, Vancouver Prostate Centre, University of British Columbia)

Article Details

Volume / Issue Vol. 15, Issue 1
Published January 03, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (5)

Q

Qing Guo

School of Materials Science and Engineering, Henan Institute of Advanced Technology

X

Xiaoqiang Li

Key Scientific Research Base on Paleolithic Human Evolution and Paleogenetics (State Cultural Heritage Administration), Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences

Z

Zhijie Zhou

Department of Chemistry and the Hong Kong Branch of Chinese National Engineering Research Centre for Tissue Restoration & Reconstruction, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR 999077, China

D

Dexiao Ma

Y

Yuzhuo Wang

Department of Urologic Sciences, Faculty of Medicine, Vancouver Prostate Centre, University of British Columbia