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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)
Favorite  |  View/Download：21/0  |  Submit date：2024/11/22
Data assimilation  Wind field reconstruction  Physics-informed deep learning  
Simulation of droplet entrainment in annular flow with a morphology adaptive multifield two-fluid model 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 10, 页码: 16./通讯作者：Schlegel, Fabian, Xu, Jing-Yu
Authors:  Wang LS(王黎松);  Krull, Benjamin;  Lucas, Dirk;  Meller, Richard;  Schlegel, Fabian;  Tekavcic, Matej;  Xu JY(许晶禹)
Adobe PDF(4949Kb)  |  Favorite  |  View/Download：145/32  |  Submit date：2023/11/28
Numerical study of chemically reacting flow in a shock tube using a high-order point-implicit scheme 期刊论文
COMPUTERS & FLUIDS, 2019, 卷号: 184, 页码: 107-118./通讯作者：Sun, Q.
Authors:  Chen S;  Sun QH(孙泉华);  Klioutchnikov I;  Olivier H
View  |  Adobe PDF(1365Kb)  |  Favorite  |  View/Download：406/153  |  Submit date：2019/06/10
Shock wave/boundary-layer interactions  Real gas effects  Chemical nonequilibrium  High-order scheme