Xu Zhan

A fast prediction approach for airfoil flow field based on the deep neural network framework

A rapid aerodynamic prediction framework, termed ParaAero-Net, is proposed for low-Mach-number two-dimensional airfoils under small-sample conditions. Unlike conventional data-driven approaches that focus only on either flow-field reconstruction or aerodynamic coefficient prediction, ParaAero-Net integrates geometry-aw...