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High-fidelity flow-field reconstruction from sparse sensors using a hybrid graph neural network-transformer architecture

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Year: 2026
Type: article
Source: Physics of Fluids
DOI: 10.1063/5.0307325
Authors: Yong-Qi Zhang, Jiang-Zhou Peng, Zhi-Qiao Wang, Wen-Jie Yuan, Yu-Bai Li, Zhi-Fu Zhou, Hao-Ran Xie, Wei-Tao Wu
Institutions: Nanjing University of Science and Technology, Dalian University of Technology, State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University
Language: English

Topic: Model Reduction and Neural Networks
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences

Open Access status: closed

Funders: China Postdoctoral Science Foundation, Natural Science Foundation of Jiangsu Province
Awards: G4448519702, G4623727615
OpenAlex ID: W7130317683
FWCI: 10.04
Cites: 23
Cited by: 3
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