Data-driven methods have become an essential part of the methodological portfolio of fluid
dynamicists, motivating students and practitioners to gather practical knowledge from a …

This work introduces a formulation of resolvent analysis that uses wavelet transforms rather
than Fourier transforms in time. Under this formulation, resolvent analysis may extend to …

Large-scale inertial particle clustering in a turbulent boundary layer (TBL) was investigated
experimentally by two-colour particle-image velocimetry and particle-tracking velocimetry …

Fluid dynamics systems driven by dominant, near-periodic dynamics are common across
wakes, jets, rotating machinery and high-speed flows. Traditional modal decomposition …

View Video Presentation: https://doi. org/10.2514/6.2023-0677. vid This work introduces a
variant of resolvent analysis that identifies forcing and response modes that are sparse in …

View Video Presentation: https://doi. org/10.2514/6.2023-0676. vid This work introduces a
formulation of resolvent analysis that uses wavelet transforms rather than Fourier transforms …

Dense suspensions of swimming bacteria exhibit chaotic flow patterns that promote the
mixing and transport of resources and signaling chemicals within cell colonies. While the …

Data-driven modal decomposition methods have become fundamental algorithms in
constructing reduced order models (ROMs), which serve as a critical tool in the digital twin …

This contribution presents a wavelet-based algorithm to detect patterns in images. A two-
dimensional extension of the DST-II is introduced to construct adapted wavelets using the …

Predicting and perhaps mitigating against rare, extreme events in fluid flows is an important
challenge. Due to the time-localized nature of these events, Fourier-based methods prove …