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粗糙壁湍流的机理和大涡模拟壁模型 学位论文
博士论文,北京: 中国科学院大学, 2024
Authors:  li shilong
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粗糙壁湍流  壁模型  大涡模拟  分离流动  深度神经网络  
Data augmented prediction of Reynolds stresses for flows around an axisymmetric body of revolution 期刊论文
OCEAN ENGINEERING, 2024, 卷号: 296, 页码: 14
Authors:  Liu, Yi;  Wang, Shizhao;  Zhang, Xin-Lei;  He, Guowei
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Ensemble Kalman method  Machine learning  Turbulence modeling  SUBOFF model  
Ensemble variational method with adaptive covariance inflation for learning neural network-based turbulence models 期刊论文
PHYSICS OF FLUIDS, 2024, 卷号: 36, 期号: 3, 页码: 21
Authors:  Luo QY(罗清勇);  Zhang XL(张鑫磊);  He GW(何国威)
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Clustering dimensionless learning for multiple-physical-regime systems 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 卷号: 420, 页码: 21
Authors:  Zhang, Lei;  Xu ZY(许昭越);  Wang SZ(王士召);  He GW(何国威)
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Cluster  Active subspace  Data-driven dimensional analysis  Machine learning  
Hyper-parameter optimization for improving the performance of localization in an iterative ensemble smoother 期刊论文
GEOENERGY SCIENCE AND ENGINEERING, 2023, 卷号: 231, 页码: 20
Authors:  Luo, Xiaodong;  Cruz, William C.;  Zhang XL(张鑫磊);  Xiao, Heng
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Ensemble data assimilation  Iterative ensemble smoother (IES)  Automatic and adaptive localization  (AutoAdaLoc)  Parameterized localization  Continuous hyper-parameter OPtimization  (CHOP)  
Explainability analysis of neural network-based turbulence modeling for transonic axial compressor rotor flows 期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 141, 页码: 108542
Authors:  Wu CT(吴楚畋);  Wang SZ(王士召);  Zhang XL(张鑫磊);  He GW(何国威)
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Explainability  Ensemble Kalman method  Turbulence model  Axial compressor rotor  Neural network  Machine learning  
激波风洞两级入轨飞行器纵向级间分离试验技术 期刊论文
航空学报, 2023, 卷号: 44, 期号: 17, 页码: 128126
Authors:  王粤;  汪运鹏;  姜宗林
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两级入轨  轨迹捕获  激波风洞  多体分离  动态试验  试验技术  
Predicting continuum breakdown with deep neural networks 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112278
Authors:  Xiao TB(肖天白);  Schotthoefer, Steffen;  Frank, Martin
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Computational fluid dynamics  Kinetic theory  Boltzmann equation  Multi-scale method  Deep learning  
Discovery of PDEs driven by data with sharp gradient or discontinuity 期刊论文
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2023, 卷号: 140, 页码: 33-43
Authors:  Wang, Kang;  Zhang L(张磊);  Tang, Shaoqiang
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System identification  Partial differential equations  Gaussian process  Discontinuous data  Machine learning  
基于神经网络和量纲分析的激光增材制造熔池几何尺寸预测 学位论文
硕士论文,北京: 中国科学院大学, 2023
Authors:  房佳汇钰
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激光熔化沉积  熔池  BP神经网络  量纲分析