Rui Wang

Structure-Aware U-Net for Deep-Learning Super-Resolution Reconstruction of Turbulent Flows

A structure-aware deep-learning framework, termed the Coordinate-Attention Residual Super-Resolution Network (CARSR-Net), for reconstructing turbulent flows from severely underresolved inputs is proposed, which better preserves high-frequency content and the physical consistency of the reconstructed fields.