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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
作者:
Liu, Yi
;
Wang, Shizhao
;
Zhang, Xin-Lei
;
He, Guowei
收藏
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浏览/下载:0/0
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提交时间:2024/05/21
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
作者:
Luo, Qingyong
;
Zhang, Xin-Lei
;
He, Guowei
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  |  
浏览/下载:1/0
  |  
提交时间:2024/05/14
Physical interpretation of neural network-based nonlinear eddy viscosity models
期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 142, 页码: 13
作者:
Zhang, Xin-Lei
;
Xiao, Heng
;
Jee, Solkeun
;
He, Guowei
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  |  
浏览/下载:11/0
  |  
提交时间:2023/11/28
Machine learning
Turbulence modeling
Ensemble Kalman inversion
Physical interpretability
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
作者:
Wu CT(吴楚畋)
;
Wang SZ(王士召)
;
Zhang XL(张鑫磊)
;
He GW(何国威)
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  |  
浏览/下载:17/0
  |  
提交时间:2023/09/26
Explainability
Ensemble Kalman method
Turbulence model
Axial compressor rotor
Neural network
Machine learning
Combining direct and indirect sparse data for learning generalizable turbulence models
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112272
作者:
Zhang XL(张鑫磊)
;
Xiao, Heng
;
Luo, Xiaodong
;
He GW(何国威)
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  |  
浏览/下载:17/0
  |  
提交时间:2023/09/05
Ensemble Kalman method
Turbulence modeling
Direct data
Indirect data
Learning Neural-Network-Based Turbulence Models for External Transonic Flows Using Ensemble Kalman Method
期刊论文
AIAA JOURNAL, 2023
作者:
Liu Y(刘毅)
;
Zhang XL(张鑫磊)
;
He GW(何国威)
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浏览/下载:18/0
  |  
提交时间:2023/06/15
A self-attention-based neural network for three-dimensional multivariate modeling and its skillful ENSO predictions
期刊论文
SCIENCE ADVANCES, 2023, 卷号: 9, 期号: 10, 页码: 1
作者:
Zhou, Lu
;
Zhang, Rong-Hua
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浏览/下载:0/0
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提交时间:2023/12/13
Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach
期刊论文
ENERGY, 2023, 卷号: 263, 页码: 16
作者:
Yang, Dongchuan
;
Guo, Ju-e
;
Li, Yanzhao
;
Sun, Shaolong
;
Wang, Shouyang
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浏览/下载:16/0
  |  
提交时间:2023/02/07
Short -term load forecasting
Time series modeling
Dynamic decomposition-reconstruction tech
nique
Neural networks
Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15
作者:
Ren, Yibin
;
Li, Xiaofeng
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浏览/下载:1/0
  |  
提交时间:2023/12/13
Predictive models
Atmospheric modeling
Sea ice
Numerical models
Arctic
Ocean temperature
Data models
Deep learning
Pan-Arctic
physically constrained loss function
sea ice concentration (SIC) prediction
subseasonal scale
The optimization of model ensemble composition and size can enhance the robustness of crop yield projections
期刊论文
COMMUNICATIONS EARTH & ENVIRONMENT, 2023, 卷号: 4, 期号: 1
作者:
Li, Linchao
;
Wang, Bin
;
Feng, Puyu
;
Jagermeyr, Jonas
;
Asseng, Senthold
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浏览/下载:2/0
  |  
提交时间:2023/12/01
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