Temperature transformation recovering the compressible law of the wall for turbulent channel flowVelocity and temperature distributions are both crucial for modeling compressible wall-bounded turbulent flows. The compressible law of the wall for velocity has been extensively examined through…Youjie Xu, Steffen J. Schmidt, Nikolaus A. Adams·Nov 10, 2025SaveLearn
Magnetic modulation of flow reversals in liquid metal thermal convectionFlow reversals are rarely observed in low-Prandtl-number liquid metal convection due to the fluid's exceptionally high thermal diffusivity. Here, we demonstrate that an external transverse magnetic…Yan-Wu Cao, Ming-Zhu Ai, Long Chen et al.·Nov 10, 2025SaveLearn
Freezing and ice aging dynamics in saline water under natural convectionUnderstanding the coupled dynamics of liquid-solid phase change and fluid flows is crucial in a wide range of geophysical and industrial applications. When freezing occurs in saline water, the newly…Feng Wang, Yihong Du, Xueyi Xie et al.·Nov 10, 2025SaveLearn
Evaporation Dynamics of Completely Pinned and Partially Pinned Sessile Droplets in Multi-Droplet ConfigurationsThe evaporation of sessile droplets placed in close proximity is influenced by complex vapor-vapor interactions, producing a shielding effect that can significantly extend droplet lifetimes. This…A. Hari Govindha, Sayak Banerjee, Saravanan Balusamy et al.·Nov 10, 2025SaveLearn
High Reynolds number trends of centerline mean velocity and normal stress in pipe flowThe CICLoPE facility at the University of Bologna in Forli, Italy, is a unique facility that provides fully developed pipe flow up to Reynolds numbers of about Reτ of 50,000 with exceptional…Hassan Nagib, Lorenzo Lazzarini, Gabriele Bellani et al.·Nov 9, 2025SaveLearn
Geometric Intermittency in TurbulenceEqual-time scaling exponents in fully developed turbulence typically exhibit non anomalous scaling in the inverse cascade of two-dimensional (2D) turbulence and anomalous scaling in three dimensions.…Ritwik Mukherjee, Siddhartha Mukherjee, I. V. Kolokolov et al.·Nov 9, 2025SaveLearn
Cross-Field Interface-Aware Neural Operators for Multiphase Flow SimulationMultiphase flow simulation is critical in science and engineering but incurs high computational costs due to complex field discontinuities and the need for high-resolution numerical meshes. While…Zhenzhong Wang, Xin Zhang, Jun Liao et al.·Nov 9, 2025SaveLearn
Turbulence at Low Reynolds NumbersTurbulence -- ubiquitous in nature and engineering alike [1-5] -- is traditionally viewed as an intrinsically inertial phenomenon, emerging only when the Reynolds number (Re), which quantifies the…Ziyue Yu, Xinyu Si, Lei Fang·Nov 8, 2025SaveLearn
Quaternion wavefunction theory bridges quantum formalism and classical fluid dynamics: a zero-parameter derivation of sphere dragWe present a quaternion wavefunction formulation that reduces the incompressible Euler equations to a single nonlinear Schr\"odinger-type equation with a holomorphic constraint, revealing hidden…Farrukh A. Chishtie·Nov 7, 2025SaveLearn
Rediscovering shallow water equations from experimental dataNew data-driven methods have advanced the discovery of governing equations from observations, enabling parsimonious models for complex systems. Here, we 'rediscover' a shallow-water equation closely…Kjell S. Heinrich, Douglas S. Seth, Mats Ehrnstrom et al.·Nov 7, 2025SaveLearn
Interscale energy transfer in turbulent channelsWe investigate the energy cascade in wall-bounded turbulence by analysing the interscale transfer between streamwise and spanwise length scales in periodic channels. This transfer originates from the…Joy Chen, Ricardo Garcia-Mayoral·Nov 7, 2025SaveLearn
When is a sloshing vortex an analogue black hole bomb?Draining vortices provide a powerful platform for simulating black hole phenomena in tabletop experiments. In realistic fluid systems confined within a finite container, low-frequency waves amplified…Sam Patrick, Leonardo Solidoro, Maurício Richartz et al.·Nov 7, 2025SaveLearn
Settling dynamics of an oloid: experiments and simulationsThis study presents a combined experimental and computational investigation of an oloid shaped particle settling in a quiescent fluid. The oloid, a unique convex shape with anisotropic geometry,…Mees M. Flapper, Giulia Piumini, Roberto Verzicco et al.·Nov 7, 2025SaveLearn
Neural Network for Subgrid Turbulence Modeling for Large Eddy SimulationsWhen simulating multiscale systems, where some fields cannot be fully prescribed despite their effects on the simulation's accuracy, closure models are needed. This phenomenon is observed in…Eduardo Vital, Jean-Marc Gratien, Yassine Ayoun et al.·Nov 7, 2025SaveLearn
Rate dependency of capillary heterogeneity trapping for CO2 storageIn this paper, we experimentally quantify and analytically model rate dependent capillary heterogeneity trapping. Capillary heterogeneity trapping enhances non-wetting fluid trapping beyond…Catrin Harris, Samuel Krevor, Ann H. Muggeridge et al.·Nov 6, 2025SaveLearn
Unstable drainage dynamics during multiphase flow across capillary heterogeneitiesWe use novel, fast 4D Synchrotron X-ray imaging with large field-of-view to reveal pore- and macro-scale drainage dynamics during gas-brine flow through a layered sandstone rock sample. We show that…Catrin Harris, Sam Krevor, Ann H Muggeridge et al.·Nov 6, 2025SaveLearn
Train yourself: self-compressing reduced-order models of turbulent flowsReduced-order models (ROMs) of turbulent flows based on Galerkin projection often require many degrees of freedom to resolve the dynamics of the turbulence, or simulation data to obtain an optimal…Ian Addison-Smith, Igor A. Maia, Benjamin Herrmann et al.·Nov 6, 2025SaveLearn
Dissecting coherent motions in extreme wall shear stress events within adverse pressure gradient turbulent boundary layersCoherent motions associated with extreme wall shear stress events are investigated for adverse pressure gradient turbulent boundary layers (APG-TBLs). The analyses are performed using wall-resolved…Leandro J. O. Silva, William R. Wolf·Nov 6, 2025SaveLearn
Towards extreme event prediction of turbulent flows with quantized local reduced-order modelsThis work develops quantized local reduced-order models (ql-ROMs) of the turbulent Minimal Flow Unit (MFU) for the analysis and interpretation of intermittent dissipative dynamics and extreme events.…Antonio Colanera, Luca Magri·Nov 6, 2025SaveLearn
Implementation and verification of the resolved Reynolds stress transport equations in OpenFOAMThe analysis of the Reynolds Stress Transport Equation (RSTE) provides fundamental physical insights that are essential for the development and validation of advanced turbulence models. However, a…Mario J. Rincón, Christoffer Hansen, Martino Reclari et al.·Nov 6, 2025SaveLearn
Deep reinforcement learning based navigation of a jellyfish-like swimmer in flows with obstaclesWe develop a deep reinforcement learning framework for controlling a bio-inspired jellyfish swimmer to navigate complex fluid environments with obstacles. While existing methods often rely on…Yihao Chen, Yue Yang·Nov 6, 2025SaveLearn
Thin gap approximations for microfluidic device designOver 125 years ago, Henry Selby Hele-Shaw realized that the depth-averaged flow in thin gap geometries can be closely approximated by two-dimensional (2D) potential flow, in a surprising marriage…Lingyun Ding, Terry Wang, Marcus Roper·Nov 6, 2025SaveLearn
Theoretical analysis of a two-dimensional bilayer convection-diffusion-reaction-source problemThis work investigates the two-dimensional thermal behavior of a bilayer medium subject to both internal and external heat sources. The model incorporates diffusion, advection, and…Guillermo Federico Umbricht, Diana Rubio, Domingo Alberto Tarzia·Nov 5, 2025SaveLearn
Variational Projection of Navier-Stokes: Fluid Mechanics as a Quadratic Programming ProblemGauss's principle of least constraint transforms a dynamics problem into a pure minimization problem, where the total magnitude of the constraint force is the cost function, minimized at each…Haithem Taha, Kshitij Anand·Nov 5, 2025SaveLearn
Disentangling Internal Tides from Balanced Motions with Deep Learning and Surface Field SynergyA fundamental challenge in ocean dynamics is disentangling balanced motions and internal waves. Extracting internal tidal (IT) imprints from surface data is a central part of this challenge.…Han Wang, Jeffrey Uncu, Kaushik Srinivasan et al.·Nov 5, 2025SaveLearn