3 citations · 3 across the 4 of their papers we have counts for
4 papers
Novel deep learning methods for 3D flow field segmentation and classification
Xiaorui Bai, Wenyong Wang, Jun Zhang +2
Flow field segmentation and classification help researchers to understand vortex structure and thus turbulent flow. Existing deep learning methods mainly based on global informatio…
A Manifold-based Airfoil Geometric-feature Extraction and Discrepant Data Fusion Learning Method
Yu Xiang, Guangbo Zhang, Liwei Hu +2
Geometrical shape of airfoils, together with the corresponding flight conditions, are crucial factors for aerodynamic performances prediction. The obtained airfoils geometrical fea…
Aerodynamic Data Predictions Based on Multi-task Learning
Liwei Hu, Yu Xiang, Jun Zhan +2
The quality of datasets is one of the key factors that affect the accuracy of aerodynamic data models. For example, in the uniformly sampled Burgers' dataset, the insufficient high…
Flow Field Reconstructions with GANs based on Radial Basis Functions
Liwei Hu, Wenyong Wang, Yu Xiang +1
Nonlinear sparse data regression and generation have been a long-term challenge, to cite the flow field reconstruction as a typical example. The huge computational cost of computat…