CFD study of particle back-flow in pneumatic conveying systems due to triboelectrificationIn industrial plants, pneumatic conveying systems are often used to convey particles from one location to another. Surprisingly, in bench-scale experiments, clusters of particles sometimes flow…Otome Obukohwo, Andrew Sowinski, Poupak Mehrani et al.·Jan 10, 2026SaveLearn
Unsteady flow predictions around an obstacle using Geometry-Parameterized Dual-Encoder Physics-Informed Neural NetworkMachine learning-based flow field prediction is emerging as a promising alternative to traditional Computational Fluid Dynamics, offering significant computational efficiency advantage. In this work,…Zekun Wang, Yu Yang, Linyuan Che et al.·Jan 10, 2026SaveLearn
Rapid Prediction of Three-Dimensional Scour Flow around Bridge Piers via Body-Fitted Coordinate-Based U-NetPredicting three-dimensional (3D) turbulent flows around bridge piers is a prerequisite for assessing local scour, a primary cause of infrastructure failure. While Computational Fluid Dynamics (CFD)…Tokio Morimoto·Jan 10, 2026SaveLearn
A Response to "Application of Gauss's Principle to the Classical Airfoil Lift Problem"The classical theory of lift is confined to sharp edged airfoils. The search for a more general closure condition in potential flow remained elusive for over a century. Recently, a variational theory…Haithem Taha·Jan 10, 2026SaveLearn
Lagrangian Phase-Lag and Geometric Precedence in Turbulent Vortex StretchingThis study investigates the causal timeline of vortex stretching in high-Reynolds-number turbulence (Reλ ≈ 433) using Lagrangian tracking in 10243 direct numerical simulations.…Khalid Saqr·Jan 9, 2026SaveLearn
Hard Constraint Projection in a Physics Informed Neural NetworkIn this work, we embed hard constraints in a physics informed neural network (PINN) which predicts solutions to the 2D incompressible Navier Stokes equations. We extend the hard constraint method…Miranda J. S. Horne, Peter K. Jimack, Amirul Khan et al.·Jan 9, 2026SaveLearn
Coupled Level-Set Lattice Boltzmann Method on Adaptive Cartesian GridsA novel coupled level-set lattice Boltzmann method on adaptive Cartesian grids for simulating liquid-gas multiphase flows is presented. The approach addresses the inherent challenges of accurately…Julian Vorspohl, Yuxing Peng, Matthias Meinke et al.·Jan 9, 2026SaveLearn
Combined effects of evaporation, sedimentation and solute crystallization on the dynamics of aerosol size distributions on multiple length and time scalesWe investigate three aspects of aerosol-mediated air-borne viral infection mechanisms on different length and time scales. First, we address the evolution of the size distribution of a…Sina Zendehroud, Ole Kleinjung, Philip Loche et al.·Jan 9, 2026SaveLearn
On the Reynolds analogy for high-speed rough-wall flows: implications for wall modellingWe study the validity of the generalized Reynolds analogy (GRA) in compressible turbulent boundary layers over prism-shaped roughness by mining direct numerical simulation data of Mach 2 and Mach 4…Michele Cogo, Davide Depieri, Matteo Bernardini et al.·Jan 9, 2026SaveLearn
Development and Experimental Validation of Novel Evaluation Criteria for Turbulent Two-Phase VOF Simulations in High-Pressure Die CastingAir entrapment during mold filling critically affects porosity and overall casting quality in High Pressure Die Casting. This study assesses the feasibility of applying the vof method within OpenFOAM…Mehran Shazedeh, Fabian Teichmann, Sebastian Müller·Jan 9, 2026SaveLearn
Assessment of the Rankine Vortex Model for Modeling the Gas Entrainment in a Representative Mock-up of a Sodium Fast ReactorSince decades, the CEA has been involved in the development of 4th generation reactors cooled by sodium. The dedicated experimental platform PLATEAU was erected to study the different issues and…David Guenadou, Philippe Aubert, Jean-Philippe Descamps·Jan 9, 2026SaveLearn
A Favre-Averaging Shallow Water Framework for Aerated Flows with Friction Factor DecompositionAccurate prediction of flow resistance in high-Froude-number aerated flows remains challenging due to air entrainment, which causes strong spatial variability in mixture density. Here, we introduce…Matthias Kramer·Jan 9, 2026SaveLearn
Development of Rheological Constitutive Modeling Method Using a Sparse Identification Algorithm: A Case Study for Extensional FlowsDeriving constitutive models (CMs) from numerical data has been an attractive approach as a systematic CM building method. One recent study is Rheo-SINDy, which extended the sparse identification of…Takeshi Sato, Souta Miyamoto, Shota Kato·Jan 9, 2026SaveLearn
Revisiting the scale dependence of the Reynolds number in correlated fluctuating fluidsFor the incompressible Navier--Stokes equation, the Reynolds number (Re) is a dimensionless parameter quantifying the relative importance of inertial over viscous forces. In the…Sijie Huang, Ayush Saurabh, Steve Pressé·Jan 8, 2026SaveLearn
PINN-Based Solution for a Diffusion Controlled Droplet GrowthWe study diffusion-controlled growth of a spherical droplet with a moving boundary using a physics-informed neural network (PINN) formulation. The governing diffusion equation is coupled to the…Pavel Gol'din, Gennady Y. Gor·Jan 8, 2026SaveLearn
Supersonic jet dynamics from two-cavitation-bubble interactions: acceleration, tip fragmentation and penetrationThis study experimentally and numerically investigates the dynamics of a high-speed liquid jet generated from the interaction of two tandem cavitation bubbles, termed bubble 1 and bubble 2, depending…Shuai Yan, A-Man Zhang, Tianyuan Zhang et al.·Jan 8, 2026SaveLearn
Mixed data-source transfer learning for a turbulence model augmented physics-informed neural networkPhysics-informed neural networks (PINNs) have recently emerged as a promising alternative for extracting unknown quantities from experimental data. Despite this potential, much of the recent…Christian Toma, Bharathram Ganapathisubramani, Sean Symon·Jan 8, 2026SaveLearn
Turbulent Diffusion-Cascade InteractionIn the decay region around the centreline of three qualitatively different turbulent plane wakes, the turbulence is non-homogeneous and two-point turbulent diffusion counteracts the turbulence…Ernesto Fuentes Noriega, John Christos Vassilicos·Jan 8, 2026SaveLearn
Ensemble of Fixed Points in Multi-branch Shell Models of Turbulent CascadesStationary solutions of a shell model of turbulence defined on a dyadic tree topology are studied. Each node's amplitude is expressed as the product of amplitude multipliers associated with its…Flavio Tuteri, Sergio Chibbaro, Alexandros Alexakis·Jan 8, 2026SaveLearn
Numerical study on fast spectral evolution due to double resonance and applicability of generalized kinetic equationIt is known that for a two-layer fluid system, the kinetic equation governing the evolution of the spectrum of the wave field given by the standard wave turbulence theory (WTT) breaks down due to the…Mitsuhiro Tanaka·Jan 8, 2026SaveLearn
Impact force and spreading characteristics of droplet impact on cylindrical surfacesDroplet impact phenomena are ubiquitous in both nature and industry. Existing studies of droplet impact have focused on the kinematics of droplet impact on flat surfaces, whereas research on…Mengqi Ye, Tianyou Wang, Zhizhao Che·Jan 8, 2026SaveLearn
Low-wavenumber wall pressure fluctuations in turbulent flows within concentric annular ductsCompressible direct numerical simulations of turbulent channel flows in concentric annular ducts of height 2δ are performed to study the low-wavenumber wall pressure fluctuations (WPF) over…Yaomin Zhao, Taiyang Wang, Benshuai Lyu·Jan 8, 2026SaveLearn
JAX-Shock: A Differentiable, GPU-Accelerated, Shock-Capturing Neural Solver for Compressible Flow SimulationUnderstanding shock-solid interactions remains a central challenge in compressiblefluiddynamics. WepresentJAX-Shock: afully-differentiable,GPU-accelerated, high-order shock-capturing solver for…Bo Zhang·Jan 7, 2026SaveLearn
Numerical Investigation of the Effect of a Magnetic Field on the Transport of Oxygen in AirThe effects of magnetisation forces in a binary mixture of gases characterised by large differences in magnetic susceptibility are studied using numerical simulations, with a focus on the…Alexander C. Kruse, Pavlos G. Aleiferis, Andrea Giusti·Jan 7, 2026SaveLearn
Microbubble surface instabilities in a strain stiffening viscoelastic materialUnderstanding the dynamics of instabilities along fluid-solid interfaces is critical for the efficacy of focused ultrasound therapy tools (e.g., histotripsy) and microcavitation rheometry techniques.…Sawyer Remillard, Bachir A. Abeid, Timothy L. Hall et al.·Jan 7, 2026SaveLearn