2 papers
physics.flu-dyn2025
Stochastic reduced-order Koopman model for turbulent flows
Tianyi Chu, Oliver T. Schmidt
A stochastic data-driven reduced-order model applicable to a wide range of turbulent natural and engineering flows is presented. Combining ideas from Koopman theory and spectral mo…
physics.flu-dyn2025
Parametric reduced-order modeling and mode sensitivity of actuated cylinder flow from a matrix manifold perspective
Shintaro Sato, Oliver T. Schmidt
We present a framework for parametric proper orthogonal decomposition (POD)-Galerkin reduced-order modeling (ROM) of fluid flows that accommodates variations in flow parameters and…