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A framework of data assimilation for wind flow fields by physics-informed neural networks 期刊论文
APPLIED ENERGY, 2024, 卷号: 371, 页码: 18./通讯作者:Sun, Zhenxu
Authors:  Yan C(闫畅);  Xu SF(许盛峰);  Sun ZX(孙振旭);  Lutz, Thorsten;  Guo DL(郭迪龙);  Yang GW(杨国伟)
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Data assimilation  Wind field reconstruction  Physics-informed deep learning  
基于融合物理神经网络的稀疏数据挖掘应用及算法研究 学位论文
硕士论文,北京: 中国科学院大学, 2024
Authors:  许盛峰
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融合物理神经网络,物理信息神经网络,流场重构,稀疏数据挖掘,并行计算,数据标准化  
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./通讯作者:Sun, ZX (corresponding author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
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)
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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./通讯作者:Sun, ZX (corresponding author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
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./通讯作者:Sun, ZX, Huang, RF (corresponding author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.
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)
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Physics informed neural network  Flow field reconstruction  Particle image velocimetry  Cosine annealing algorithm  Experimental fluid dynamics  
Data-driven rapid prediction model for aerodynamic force of high-speed train with arbitrary streamlined head 期刊论文
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS, 2022, 卷号: 16, 期号: 1, 页码: 2190-2205./通讯作者:Sun, Zhenxu
Authors:  Chen, Dawei;  Sun ZX(孙振旭);  Yao, Shuanbao;  Xu SF(许盛峰);  Yin B(银波);  Guo DL(郭迪龙);  Yang GW(杨国伟);  Ding, Sansan
Adobe PDF(2791Kb)  |  Favorite  |  View/Download:344/85  |  Submit date:2022/12/20
Aerodynamic force  inverse design  high-speed train  SVM  numerical simulation  wind tunnel test