A coupled Eulerian Lagrangian approach for fluid and particle dynamicsWe present a one-way coupled Eulerian-Lagrangian computational framework for simulating fluid and particle dynamics in two-dimensional incompressible flows. The framework extends the GPU-accelerated…Snehanshu Maiti, Rajaraman Ganesh·Jul 20, 2026SaveLearn
Scattering of Capillary Waves By a Cylindrical MeniscusThe propagation of water waves is altered when interacting with curved surfaces. Here, we consider the problem of capillary waves interacting with a 3D cylindrical meniscus. We show that when…Cade Sbrocco, Yukun Sun, Uma Grover et al.·Jul 20, 2026SaveLearn
Turbulence enhances bird tail aerodynamic performanceTurbulence is omnipresent in the atmosphere and a long-standing scientific conundrum that makes flight complex. This complexity is little understood; surprisingly, when turbulence arises, air…Ariane Gayout·Jul 20, 2026SaveLearn
Advancing flight physics through natural adaptation and animal learningFluid dynamics, and flight in particular, is a domain where organisms challenge our understanding of its physics. Integrating the current knowledge of animal flight, we propose to revisit the use of…Ariane Gayout·Jul 20, 2026SaveLearn
Solver-in-the-loop training of deep learning closures for large-eddy simulation of turbulent premixed jet flamesLarge-eddy simulation (LES) turbulence models often fail to capture the effects of chemical heat release and the resulting modulation of turbulence in premixed flames, underscoring the need for a…Priyesh Kakka, Jonathan F. MacArt·Jul 19, 2026SaveLearn
Differentiable Hybrid Neural-CFD Modelling of Wall-Bounded Turbulence: Coupled Learning of Subgrid-Scale and Wall ClosuresWall-modelled large-eddy simulation (WMLES) treats the subgrid-scale (SGS) closure, wall closure and numerical discretization as independent components, although their effects are coupled through the…Xiantao Fan, Yi Liu, Meng Wang et al.·Jul 19, 2026SaveLearn
Multi-Granularity Conformal Prediction for Reliable Neural-Operator Automotive Aerodynamic SurrogatesHigh-fidelity computational fluid dynamics (CFD) provides detailed aerodynamic data for vehicle design, but its cost limits design iteration. Neural-operator surrogates reduce this cost, yet their…Chundong Jia, Chao Xia, Alexey Vdovin et al.·Jul 19, 2026SaveLearn
Electric modification of mode competition in viscous films with insoluble surfactants on vertical fibersThis study investigates the coupled effects of an insoluble surfactant and a radial electric field on the stability of a viscous liquid film flowing down a vertical fiber. Starting from the governing…Jun Gao, Xiaocong Yang, Senlin Zhu et al.·Jul 19, 2026SaveLearn
Particle Image Velocimetry Refinement via Consensus ADMM for Active Fluid ControlParticle Image Velocimetry (PIV) is among the central modalities for measuring flow fields across laboratory, industrial and environmental setting. Traditional PIV approaches typically depend on…Alan Bonomi, Francesco Banelli, Antonio Terpin·Jul 19, 2026SaveLearn
Experimental and model-assisted analysis of lamella thinning and breakup in diesel-surrogate fuel-droplet wall impingement under Leidenfrost conditionsHot-wall fuel-droplet impingement affects liquid redistribution, secondary droplet formation, and droplet evaporation in diesel-relevant spray-wall systems. This study investigates the spreading and…Xinquan Liang, Daniel Olufemi Olurotimi, Xi Liu et al.·Jul 18, 2026SaveLearn
Large Eddy Simulation of Plunging Flows in Laboratory-Scale Bedrock RiversNon-uniform flow dynamics in bedrock-bound channel morphologies play a critical role in landscape evolution because these reaches are locations along river long profiles where active bedrock incision…Jayanga T. Samarasinghe, Laura V. Alvarez, Max Hurson et al.·Jul 18, 2026SaveLearn
An SPH model with physically prescribed parameters for droplet dynamics on complex surfacesNumerical simulation of droplet dynamics on complex surfaces with varying wettability is of great significance to both engineering applications and fundamental research. However, existing numerical…Zhonghua Qiao, Yifan Wei, Xianmin Xu·Jul 18, 2026SaveLearn
Experimental and numerical investigation on preferential alignment of Kolmogorov-size fibers in turbulent channel flowWe present a combined experimental and numerical investigation of the preferential alignment of Kolmogorov-size, high-aspect-ratio fibers in turbulent channel flow at friction Reynolds numbers…Eliza Coliban, Domenico Zaza, Alfredo Soldati·Jul 18, 2026SaveLearn
Turbophoresis of inertial particles in inhomogeneous turbulence generated by oscillating gridsTurbophoresis in inhomogeneous turbulent flows leads to the formation of large-scale nonuniform particle number density distributions of inertial particles. This effect is associated with an…E. Elmakies, O. Shildkrot, N. Kleeorin et al.·Jul 18, 2026SaveLearn
Learning to traverse convective flows at moderate to high Rayleigh numbersWe study the navigation of a self-propelled inertial particle in two-dimensional Rayleigh-Bénard convection at Prandtl number Pr=0.71 and cell aspect ratio Γ=4 for Rayleigh numbers Ra ranging…Ao Xu, Hua-Lin Wu, Ben-Rui Xu et al.·Jul 18, 2026SaveLearn
On the collapse of three point vortices on surfacesPoint vortices represent an important reduced model describing two-dimensional ideal fluid dynamics. It is well known that there exist three-vortex configurations on the Euclidean plane…Theodore D. Drivas, Boris A. Khanikati, Valeriya A. Khanikati·Jul 17, 2026SaveLearn
From Triadic Interactions to Kolmogorov Scaling: A Deterministic, Scale-Resolved Formulation of Energy FluxWe develop a deterministic, scale-resolved formulation of energy transfer in the three-dimensional incompressible Navier-Stokes equations based on an explicit triadic decomposition of the nonlinear…Erik Bertram·Jul 17, 2026SaveLearn
Effects of anisotropic confinement on droplet rebound from superhydrophobic surfacesOn flat superhydrophobic surfaces, droplet rebound is well described by a single inertio-capillary time scale, yielding a contact-time that is independent of impact energy. This single-mode response…M. Feinberg, S. A. Hosseini, I. Karlin·Jul 17, 2026SaveLearn
Data-driven identification of multiscale self-similarity and asymptotic matchingA central problem in fluid mechanics is the identification of self-similarity, which reveals the underlying scaling behaviour of a flow. Recently, a data-driven framework proposed by Bempedelis et…Kaixin Zhu, Nikos Bempedelis, Konstantinos Steiros·Jul 17, 2026SaveLearn
Vortex formation around islands in random wavesWave vortices are fundamental topological features of interference fields, occurring at nodal points where the wave amplitude vanishes. A distinct class of vortices can instead form around it islands…Alex J. Vernon, Junyi Ye, Wenzhe Liu et al.·Jul 17, 2026SaveLearn
Unified Deflection Estimation and Error Analysis for Background-Oriented SchlierenBackground-Oriented Schlieren (BOS) has become a versatile quantitative diagnostic for density-varying flows, in which estimating the light-ray deflection from the measured displacement is the…Jiawei Li, Xiang Li, Chong Pan et al.·Jul 17, 2026SaveLearn
Numerical comparison of energy- versus circulation-preserving stochastic vortex dynamicsWe compare two geometric stochastic frameworks for the two-dimensional Euler equations, being the circulation-preserving stochastic advection by Lie transport (SALT) and the energy-preserving…Sagy Ephrati, Darryl D. Holm·Jul 17, 2026SaveLearn
Geometry-induced self-excited dynamo in a regular tetrahedronWe present a rotation-free magnetohydrodynamic dynamo driven by laminar thermal convection in a regular tetrahedral cavity. The tetrahedral boundaries organize the convective flow into a robust…Akira Kageyama·Jul 17, 2026SaveLearn
A framework for realisable data-driven active flow control using model predictive control applied to a simplified truck wakeWe present a data-driven active flow control framework designed for deployment with few non-intrusive sensors. The method builds upon Artificial Intelligence driven reduced-order predictive models…Alberto Solera-Rico, Carlos Sanmiguel Vila, Stefano Discetti·Jul 17, 2026SaveLearn
A toy model of turbulent shear flow using vortonsWe introduce a novel toy model for shear flows, exploiting the spatial intermittency and the scale separation between large-scale flows and small-scale structures. The model is highly sparse,…Wandrille Ruffenach, Lucas Fery, Bérengère Dubrulle·Jul 17, 2026SaveLearn