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…
nlin.PS2018
Discovering time-varying aeroelastic models of a long-span suspension bridge from field measurements by sparse identification of nonlinear dynamical systems
Shanwu Li, Eurika Kaiser, Shujin Laima +3
We develop data-driven dynamical models of the nonlinear aeroelastic effects on a long-span suspension bridge from sparse, noisy sensor measurements which monitor the bridge. Using…