Dense velocity reconstruction from particle image velocimetry/particle tracking velocimetry using a physics-informed neural network
Author:
Affiliation:
1. The State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
2. School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China
Funder
National Natural Science Foundation of China
Publisher
AIP Publishing
Subject
Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0078143
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4. Twenty years of particle image velocimetry
5. Vortex organization in the outer region of the turbulent boundary layer
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