New Papers in Fluid Mechanics
Visualizations of ultrafast bubble dynamics
Author(s): Outi Supponen
Experimental high-speed visualization techniques are evolving rapidly and provide valuable tools for learning about ultrafast bubble dynamics that cause unwanted but also desirable damage, such as cavitation and acoustically driven bubbles and droplets relevant for biomedical applications. This article offers my personal perspective on the quest to illuminate the hidden physics of externally stimulated bubbles that have a remarkable ability to focus energy. The focus is given to advanced experimental techniques including ultrafast videomicroscopy and synchrotron x-ray imaging to characterize bubble jetting, vapor bubble nucleation and shape deformations of periodically driven bubbles.
[Phys. Rev. Fluids 11, 023601] Published Tue Feb 03, 2026
Assessment of mixing in rotating microfluidic channels: A variational calculus approach
Author(s): Mahesh Kumar, Harshad Sanjay Gaikwad, and Pranab Kumar Mondal
We present a theoretical investigation of the mixing dynamics of two constituent fluids within a soft rotating microfluidic channel. We solve a coupled system of transport equations, governing the mixing dynamics in this endeavor, with the associated symmetric and antisymmetric boundary conditions u…
[Phys. Rev. E 113, 025101] Published Mon Feb 02, 2026
Self-organized breakthrough morphodynamics in fluid-driven branching
Author(s): J. Tauber, J. Asnacios, and L. Mahadevan
With experiment and theory we consider the branching morphodynamics of injecting a shear-thinning liquid from a point source to a point sink in a Hele-Shaw cell filled with a yield-stress fluid which has a sudden transition in its response as the local stress crosses a threshold. As the injection rate is increased an abrupt transition occurs, from a direct path connecting source to sink at low flow rates, to a rapid branching morphology at high flow rates, eventually converging to the sink. We show that global constraints imposed by boundary conditions, including source-sink separation, injection rate, and plate properties, shape branching morphodynamics and determine the transition point.
[Phys. Rev. Fluids 11, 023301] Published Mon Feb 02, 2026
Quincke rotor near a plane boundary
Author(s): Zhanwen Wang, Michael J. Miksis, and Petia M. Vlahovska
The dynamics of a spherical particle undergoing Quincke electro-rotation in the vicinity of a planar electrode are investigated. Increasing the electric field induces a transition from steady rolling to periodic and then chaotic oscillations, with the onset threshold depending on the particle–surface gap and particle inertia. When allowing for normal motion of the particle the electrostatic attraction reduces the gap, which in turn suppresses chaotic behavior and reestablishes a steady rolling state.
[Phys. Rev. Fluids 11, 023701] Published Mon Feb 02, 2026
Stability analysis of the tip streaming flow in a coflowing device
Author(s): M. Rubio, S. Rodríguez-Aparicio, M. G. Cabezas, J. M. Montanero, and M. A. Herrada
Tip streaming in a coflowing device is probably the simplest way to generate quasi‑monodisperse droplets that are much smaller than the device’s fluid passages. We show that flow stability cannot be determined from the linear stability analysis of the steady microjetting mode but from the linear superposition of decaying eigenmodes triggered by an initial perturbation. The red line in the image corresponds to a direct numerical simulation of an asymptotically stable microjetting. The experiment and simulation show the perturbation growth leading to jet breakup. These results call into question the validity of linear stability analysis applied to coflowing and similar configurations.
[Phys. Rev. Fluids 11, 024001] Published Mon Feb 02, 2026
Machine-learning-based simulation of turbulent flows over periodic hills using a hybrid U-Net and Fourier neural operator framework
Author(s): Yunpeng Wang, Huiyu Yang, Zelong Yuan, Zhijie Li, Wenhui Peng, and Jianchun Wang
A machine-learning-based surrogate model is proposed for the large-eddy simulation of three-dimensional turbulent flows over curved boundaries with strong flow separation. The model, termed as hybrid U-Net and Fourier neural operator (HUFNO), is based on an integrated framework of convolutional neural networks and Fourier neural operators, tailored for problems involving mixed periodic and non-periodic boundary conditions. The HUFNO model is validated in the fast prediction of turbulent dynamics of periodic-hill flow, with transferable accuracy to unseen initial conditions, Reynolds numbers, and hill shapes.
[Phys. Rev. Fluids 11, 024601] Published Mon Feb 02, 2026
Oscillating electroosmotic flow in channels and capillaries with modulated wall charge distribution
Author(s): A. Shrestha, E. Kirkinis, and M. Olvera de la Cruz
Electrolyte-filled channels with modulated wall charge distribution subjected to an applied DC electric field form time-independent vortices whose sense of circulation is determined by the field direction [Phys. Rev. Lett. 75, 755 (1995)]. In this paper, we show that an electrolyte in a channel or c…
[Phys. Rev. E 113, 015106] Published Fri Jan 30, 2026
Droplet on a V-shaped fiber
Author(s): Yi Zhang, Apurav Tambe, and Zhao Pan
The maximum droplet volume that a fiber can retain is a classic problem in the physics of droplet-fiber interactions, with established results for horizontal and Λ-shaped bent fibers. However, this question has remained less explored for V-shaped bent fibers, despite their relevance to fog harvesting and condensation technologies. Here, we develop a free-energy- based analytical model to predict the maximum droplet volume on V-shaped fibers and validate it experimentally using multiple liquid-fiber pairs. We reveal a non-monotonic dependence of the maximum droplet volume on the fiber opening angle, identifying a transition regime that facilitates droplet detachment.
[Phys. Rev. Fluids 11, 013604] Published Thu Jan 29, 2026
Complex segregation patterns in confined nonuniform granular shearing flows
Author(s): Santiago Caro, Riccardo Artoni, Patrick Richard, Michele Larcher, and James T. Jenkins
Sheared polydisperse granular materials exhibit a subtle balance between size segregation and diffusion that governs their transverse dynamics. Combining annular shear cell experiments with discrete numerical simulations, we investigate how confinement, shear localization, granular temperature, and mixture composition control segregation in nonuniform flows. Beyond the classical gravity-driven mechanism, we identify inverse and horizontal segregation modes that emerge from flow kinematics and geometry. These mechanisms hinder complete segregation, explaining the persistence of mixing in steady-state granular systems.
[Phys. Rev. Fluids 11, 014305] Published Thu Jan 29, 2026
Multiphase smoothed particle hydrodynamics modeling of two drops impacting on a solid surface
Author(s): Linhao Li, Md M. A. Sohag, Kan Liu, Jian Wu, and Xiufeng Yang
This work investigates the dynamics of dual-drop impact on a solid surface, encompassing both simultaneous and nonsimultaneous side-by-side impact of equal-sized drops, as well as successive impact of unequal-sized drops. Numerical simulations are performed using smoothed particle hydrodynamics meth…
[Phys. Rev. E 113, 015105] Published Thu Jan 29, 2026
Editorial: The 2025 François Naftali Frenkiel Award for Fluid Mechanics
Author(s): Beverley McKeon and Eric Lauga
[Phys. Rev. Fluids 11, 010001] Published Wed Jan 28, 2026
Fluid transport by a single active filament in a three-dimensional two-phase flow
Author(s): Qian Mao, Umberto D'Ortona, and Julien Favier
Micro-scale cilia play a vital role in mucociliary clearance (MCC) in the human respiratory airways. We develop a three-dimensional model for predicting MCC with two-way coupling between the cilia and the two-phase airway surface liquid, comprising the periciliary layer (PCL) and the mucus layer (ML). Focusing on a single cilium, we systematically examine the effects of PCL thickness and the viscosity ratio between the PCL and ML, which can vary markedly under pathological conditions. The fluid transport mechanisms are clarified by identifying two competing effects, namely the balance between drag and elastic forces and the viscous diffusion of momentum, and by establishing quantitative relationships between the flow rate and the beating pattern.
[Phys. Rev. Fluids 11, 013102] Published Wed Jan 28, 2026
Hamiltonian structure of inviscid rotating horizontal convection
Author(s): Leo R. M. Maas and Eyal Heifetz
The dynamics of a stratified, rotating fluid, contained in a box and subject to differential heating in the horizontal direction, is approximated by a low-order set of five nonlinear ordinary differential equations (ODEs). Its forced and damped versions reduce to well-known ODEs for convection or long-wave dynamics. In the ideal fluid limit, one integral of motion represents initial stratification and motion. The remaining equations, capturing the essence of ‘rotating horizontal convection’, are integrable in the absence of rotation or differential heating. In general, they represent a forced, complex Duffing equation that appears to be a generalized nonintegrable 2 DOF Hamiltonian system.
[Phys. Rev. Fluids 11, 013506] Published Wed Jan 28, 2026
Orthogonally magnetized Richtmyer-Meshkov instability in two-fluid plasmas
Author(s): Owen Thompson, Kyriakos Tapinou, Daryl Bond, and Vincent Wheatley
Shock-driven Richtmyer–Meshkov instability is central to astrophysical and inertial-confinement-fusion plasmas, where kinetic-scale effects invalidate single-fluid MHD descriptions. Using an ideal two-fluid plasma model, we show that a magnetic field parallel to the interface suppresses instability growth by transporting and phase-mixing interfacial vorticity on plasma wave packets, with increasing efficacy at smaller plasma length scales. In contrast, an out-of-plane magnetic field fails to suppress the instability and instead promotes Kelvin–Helmholtz–like roll-up through charge-separation-driven vorticity generation.
[Phys. Rev. Fluids 11, 013702] Published Wed Jan 28, 2026
Derivation of a new LES model approximated from exact two-point equations and evaluation in a Taylor-Green flow
Author(s): P. Beaumard, J. P. Laval, and J. C. Vassilicos
Existing large eddy simulation models suffer from a lack of physical justification. In this paper, the links between two-point equations derived from the Navier-Stokes equation and Large Eddy Simulation (LES) are examined and an approximation of an exact equation is used to design a new subgrid-scale model. This new model is tested both a priori and a posteriori and is found to capture the correct physical energy transfer between filtered scales and residual subfilter scales. This is a proof of concept that two-point equations can be used to develop new LES models and this strategy may be the right one for developing more efficient models.
[Phys. Rev. Fluids 11, 014607] Published Wed Jan 28, 2026
Turbulence statistics of homogeneous isotropic supercritical fluid flow
Author(s): David Martín, Joan Grau, and Lluís Jofre
Turbulence in supercritical fluids differs from its low-pressure counterpart due to strong thermodynamic coupling and pseudoboiling effects, yet their influence on velocity and thermodynamic fluctuations remains unclear. Using direct numerical simulations of isotropic turbulence in supercritical fluids, small-scale statistics are examined. Temperature-related quantities are particularly sensitive, exhibiting increased intermittency of temperature variance dissipation rate and reduced production of mean-square temperature gradients. Topological analysis also shows that regions of intense pseudoboiling activity suppress strain-dominated structures while enhancing vortical motions.
[Phys. Rev. Fluids 11, 014609] Published Wed Jan 28, 2026
Gaussian wave packets in a semi-infinite capillary jet for droplet isolation: Spatial linear analysis and nonlinear simulations
Author(s): Y. M. Zhang, H. González, F. J. García de Bollullos, P. A. Vazquez, and H. L. Yi
A single droplet can be effectively isolated from a capillary liquid jet by applying a short-duration velocity oscillatory pulse at its exit from the nozzle outlet. The previous temporal analysis of F. J. García et al. [Phys. Rev. E 100, 053111 (2019)], which modeled the jet as an infinite liquid c…
[Phys. Rev. E 113, 015104] Published Tue Jan 27, 2026
Helical instability of nonisothermal liquid jets
Author(s): Ran Qiao, Kai Mu, Chengxi Zhao, and Ting Si
Although thermal fields are known to influence liquid jet instability, prior studies have focused primarily on axisymmetric disturbances. This work reveals that a temperature field can excite a dominant non-axisymmetric helical mode, driven by azimuthal Marangoni stresses. We show that enhancing the Marangoni effect or suppressing thermal diffusivity promotes this helical instability, triggering a fundamental transition from Rayleigh-Plateau to azimuthal Marangoni-driven destabilization. Phase diagrams provide criteria for predicting this mode transition, offering new insights into controlling jet stability in applications such as ink printing and fiber production.
[Phys. Rev. Fluids 11, 014006] Published Tue Jan 27, 2026
Effect of inflow conditions on tip vortex breakdown in a high Reynolds number wind turbine wake
Author(s): Mano Grunwald and Claudia E. Brunner
We experimentally investigate the impact of different inflow conditions on the breakdown of wind turbine tip vortices in a high Reynolds number wind tunnel. The data in this paper is obtained through hot wire spectral analysis. While downstream evolution of the spectra exhibits a complex scale dependent behavior, here we focus on the decay of the signature of the tip vortices for which we identify three distinct regimes. These regimes are linked to an initial advection phase, vortex breakdown, and turbulence decay. Variations in the tip speed ratio have a significant impact on the breakdown rate in the second regime, while effects of mean shear and turbulence intensity are less pronounced.
[Phys. Rev. Fluids 11, 014608] Published Tue Jan 27, 2026
Non-Newtonian viscous fluid models with learned rheology accurately reproduce Lagrangian sea ice simulations
Author(s): Gonzalo G. de Diego and Georg Stadler
Polar sea ice is a crucial component of Earth’s climate system which is generally modeled as a non-Newtonian fluid in climate simulations. To overcome the accuracy limitations of existing non-Newtonian models for sea ice, we present a framework for learning an effective shear viscosity function for sea ice from velocity data. We apply our approach to data generated from a complex sea ice discrete element method (DEM). The learned rheology is capable of reproducing the DEM velocity data accurately.
[Phys. Rev. Fluids 11, 013301] Published Mon Jan 26, 2026