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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)
Favorite  |  View/Download：11/0  |  Submit date：2024/05/14
Data-driven turbulence model for unsteady cavitating flow 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 1, 页码: 18
Authors:  Zhang Z(张珍);  Wang JZ(王静竹);  Huang RF(黄仁芳);  Qiu RD(丘润荻);  Chu, Xuesen;  Ye SR(叶舒然);  Wang YW(王一伟);  Liu, Qingkuan
Adobe PDF(4681Kb)  |  Favorite  |  View/Download：162/8  |  Submit date：2023/02/27
Physics-informed neural networks for phase-field method in two-phase flow 期刊论文
PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 5, 页码: 15
Authors:  Qiu RD(丘润荻);  Huang RF(黄仁芳);  Xiao, Yao;  Wang JZ(王静竹);  Zhang, Zhen;  Yue, Jieshun;  Zeng, Zhong;  Wang YW(王一伟)
Adobe PDF(4062Kb)  |  Favorite  |  View/Download：343/77  |  Submit date：2022/07/18
Reynolds number effect on statistics of turbulent flows over periodic hills 期刊论文
PHYSICS OF FLUIDS, 2021, 卷号: 33, 期号: 10, 页码: 28
Authors:  Zhou ZD(周志登);  Wu T(吴霆);  Yang XL(杨晓雷)
Adobe PDF(16361Kb)  |  Favorite  |  View/Download：144/27  |  Submit date：2022/01/13
Machine learning method for the supplement, correction, and prediction of the nonlinear dynamics in pattern formation 期刊论文
PHYSICS OF FLUIDS, 2021, 卷号: 33, 期号: 2, 页码: 17
Authors:  Chen Y(陈一);  Wu D(吴笛);  Duan L(段俐);  Kang Q(康琦)
Adobe PDF(5849Kb)  |  Favorite  |  View/Download：238/70  |  Submit date：2021/04/19