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Deep learning method for the super-resolution reconstruction of small-scale motions in large-eddy simulation 期刊论文
AIP ADVANCES, 2022, 卷号: 12, 期号: 12, 页码: 9
Authors:  Zhao QY(赵庆义);  Jin GD(晋国栋);  Zhou ZD(周志登)
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A structural subgrid-scale model for the collision-related statistics of inertial particles in large-eddy simulations of isotropic turbulent flows 期刊论文
PHYSICS OF FLUIDS, 2020, 卷号: 32, 期号: 9, 页码: 16
Authors:  Zhou ZD(周志登);  Wang SZ(王士召);  Yang XL(杨晓雷);  Jin GD(晋国栋)
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Subgrid-scale model for large-eddy simulation of isotropic turbulent flows using an artificial neural network 期刊论文
COMPUTERS & FLUIDS, 2019, 卷号: 195, 页码: UNSP 104319
Authors:  Zhou ZD(周志登);  He GW(何国威);  Wang SZ(王士召);  Jin GD(晋国栋)
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Machine learning  Artificial neural network  Subgrid-scale model  Large-eddy simulation  Isotropic turbulent flows  
A structural subgrid-scale model for relative dispersion in large-eddy simulation of isotropic turbulent flows by coupling kinematic simulation with approximate deconvolution method 期刊论文
PHYSICS OF FLUIDS, 2018, 卷号: 30, 期号: 10, 页码: Ar-105110
Authors:  Zhou ZD(周志登);  Wang SZ(王士召);  Jin GD(晋国栋)
View  |  Adobe PDF(5320Kb)  |  Favorite  |  View/Download：340/132  |  Submit date：2018/12/12