High-speed imaging is in popular demand for a broad range of experiments in fluids. It
allows for a detailed visualization of the event under study by acquiring a series of image …

We experimentally investigate the breakup mechanisms and probability of Hinze-scale
bubbles in turbulence. The Hinze scale is defined as the critical bubble size based on the …

This work reports an experimental characterisation of the flow properties in a homogeneous
bubble swarm rising at high Reynolds numbers within a homogeneous and isotropic …

We conduct experiments in a turbulent bubbly flow to study the nature of the transition
between the classical). Therefore, it is a generic feature of turbulent bubbly flows, and the …

Three-dimensional Voronoï analysis is used to quantify the clustering of inertial particles in
homogeneous isotropic turbulence using data sets from numerics in the point particle limit …

Lift and drag coefficients of deformable bubbles in intense turbulence determined from bubble
rise velocity Page 1 J. Fluid Mech. (2020), vol. 894, A20. c The Author(s), 2020. Published by …

Shear-driven turbulence in the superfluid interior of a neutron star exerts a fluctuating torque
on the rigid crust, causing the rotational phase to walk randomly. The phase fluctuation …

While data-driven analysis has demonstrated significant success in single-phase flow
systems, its application to multi-phase flows has been relatively limited with fewer examples …

We report on the Lagrangian statistics of acceleration of small (sub-Kolmogorov) bubbles
and tracer particles with Stokes number St≪ 1 in turbulent flow. At a decreasing Reynolds …

We apply a machine-learned subgrid-scale model to large-eddy simulations (LES) of heavy
particles in isotropic turbulence with different Stokes numbers. The data-driven model …