On the Preprocessing of Physics-informed Neural Networks: How to Better Utilize Data in Fluid Mechanics

Shengfeng Xu, Chang Yan, Zhenxu Sun +3

Physics-Informed Neural Networks (PINNs) serve as a flexible alternative for tackling forward and inverse problems in differential equations, displaying impressive advancements in…