The Koopman theory, a concept to globally model nonlinear signals by a linear Hamiltonian,
has been at the frontier of fluid mechanics research for the last decade. Wind engineering …

This paper distills the serial work of Li et al., 2020a, Li et al., 2021, Li et al., 2022a, Li et al.,
2022b, Li et al., 2022c, Li et al., 2023a, Li et al., 2023b into a practice guide for the Dynamic …

The chaotic state of microfluidic devices such as electroosmotic micromixers has received
extensive attention. Its unsteady flow and multi-physics mask low-dimensional structure and …

The flow behind nine different arrays of cylinders is experimentally investigated via Particle
Image Velocimetry (PIV) at a Reynolds number of Re∼ 100 based on the diameter of the …

Existing research on interference effects predominantly focuses on rigid structures.
However, studies based on rigid models tend to overlook the feedback of structural motions …

This study conducts large eddy simulations (LES) to investigate the aerodynamic
interference effects and flow field characteristics of the flow around square cylinders, taking …

The linear-time-invariance notion to the Koopman analysis is a recent advance in fluid
mechanics [Li et al.,“The linear-time-invariance notion to the Koopman analysis: The …

Deep learning methods based on time series prediction are widely applied to solving fluid
dynamics problems. However, the application characteristics of Long Short-Term Memory …

Deep operator network (DeepONet), a powerful tool to approximate nonlinear mappings
between different function spaces, has attracted researchers' attention recently for its …