Improved turbulence modeling remains a major open problem in mathematical physics.
Turbulence is notoriously challenging, in part due to its multiscale nature and the fact that …

For over a century, reduced order models (ROMs) have been a fundamental discipline of
theoretical fluid mechanics. Early examples include Galerkin models inspired by the Orr …

This article deals with the symmetry breaking of azimuthal thermoacoustic modes in annular
combustors. Using a nominally symmetric annular combustor, we present experimental …

This study investigated the performance of proper orthogonal decomposition (POD), discrete
Fourier transformation (DFT), time-domain spectral proper orthogonal decomposition (td …

The vortex-induced vibrations of an elastically mounted circular cylinder (with mass ratio= 2)
in stochastically fluctuating inflow are numerically studied at a Reynolds number of 150 …

This work presents a robust method that minimises the impact of user-selected parameter on
the identification of generic models to study the coherent dynamics in turbulent flows. The …

This work investigates the spatio-temporal evolution of coherentstructures in the wake of a
generic high-speed train. Spectral properorthogonal decomposition is used to extract energy …

The analysis of market correlations is crucial for optimal portfolio selection of correlated
assets, but their memory effects have often been neglected. In this work, we analyse the …

This study introduces the Extended Cluster-based Network Modeling (eCNM), a
methodology to analyze complex fluid flows. The eCNM focuses on characterizing dynamics …

We introduce a projection-based model reduction method that systematically accounts for
nonlinear interactions between the resolved and unresolved scales of the flow in a low …