Structure-Aware U-Net for Deep-Learning Super-Resolution Reconstruction of Turbulent Flows
High-resolution flowfield data are essential for turbulence research and engineering applications, yet their acquisition from numerical simulations and experiments remains prohibitively expensive. Super-resolution reconstruction offers a promising alternative, but conventional interpolation-based and generic image supe...