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Spatiotemporal parallel physics-informed neural networks: A framework to solve inverse problems in fluid mechanics 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 6, 页码: 65141
Authors:  Xu SF(许盛峰);  Yan C(闫畅);  Zhang, Guangtao;  Sun ZX(孙振旭);  Huang RF(黄仁芳);  Ju SJ(鞠胜军);  Guo DL(郭迪龙);  Yang GW(杨国伟)
Adobe PDF(8047Kb)  |  Favorite  |  View/Download：71/6  |  Submit date：2023/09/05
Exploring hidden flow structures from sparse data through deep learning strengthened proper orthogonal decomposition 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 3, 页码: 37119
Authors:  Yan C(闫畅);  Xu SF(许盛峰);  Sun ZX(孙振旭);  Guo DL(郭迪龙);  Ju SJ(鞠胜军);  Huang RF(黄仁芳);  Yang GW(杨国伟)
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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：80/5  |  Submit date：2023/04/20
Physics informed neural network  Flow field reconstruction  Particle image velocimetry  Cosine annealing algorithm  Experimental fluid dynamics