当前位置:
X-MOL 学术
›
J. Am. Stat. Assoc.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
A Physics-Informed, Deep Double Reservoir Network for Forecasting Boundary Layer Velocity
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-11-04 , DOI: 10.1080/01621459.2024.2422131 Matthew Bonas, David H. Richter, Stefano Castruccio
Journal of the American Statistical Association ( IF 3.0 ) Pub Date : 2024-11-04 , DOI: 10.1080/01621459.2024.2422131 Matthew Bonas, David H. Richter, Stefano Castruccio
When a fluid flows over a solid surface, it creates a thin boundary layer where the flow velocity is influenced by the surface through viscosity, and can transition from laminar to turbulent at suf...
中文翻译:
用于预测边界层速度的物理信息深部双储层网络
当流体流过固体表面时,它会形成一个薄的边界层,其中流速受表面粘度的影响,并且可以在饱和时从层流转变为湍流。
更新日期:2024-11-06
中文翻译:
用于预测边界层速度的物理信息深部双储层网络
当流体流过固体表面时,它会形成一个薄的边界层,其中流速受表面粘度的影响,并且可以在饱和时从层流转变为湍流。