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A practical approach to flow field reconstruction with sparse or incomplete data through physics informed neural network 期刊论文
ACTA MECHANICA SINICA, 2023, 卷号: 39, 期号: 3, 页码: 322302
Authors:  Xu SF(许盛峰);  Sun ZX(孙振旭);  Huang RF(黄仁芳);  Guo DL(郭迪龙);  Yang GW(杨国伟);  Ju SJ(鞠胜军)
Adobe PDF(4793Kb)  |  Favorite  |  View/Download:79/5  |  Submit date:2023/04/20
Physics informed neural network  Flow field reconstruction  Particle image velocimetry  Cosine annealing algorithm  Experimental fluid dynamics