13 citations · 13 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2025
Generalizable super-resolution turbulence reconstruction from minimal training data
Wu Haokai, Cao Yong, Chen Yaoran +4
Fully resolving turbulent flows remains challenging due to turbulent systems' multiscale complexity. Existing data-driven approaches typically demand expensive retraining for each…
physics.flu-dyn2024★ 13 cited
High-flexibility reconstruction of small-scale motions in wall turbulence using a generalized zero-shot learning
Haokai Wu, Kai Zhang, Dai Zhou +3
This study proposes a novel super-resolution (or SR) framework for generating high-resolution turbulent boundary layer (TBL) flow from low-resolution inputs. The framework combines…