Guided navigation in turbulenceNavigation in turbulence is challenging because local flow measurements provide limited information about favorable paths beyond the flow correlation scales. We investigate vertical navigation by…Jingran Qiu, Kristian Gustavsson·Aug 31, 2026SaveLearn
Evolution of inertial particle clustering in decaying turbulenceInertial particle dynamics in turbulence are commonly interpreted in terms of the instantaneous particle Stokes number, as supported by studies in statistically stationary homogeneous isotropic…Martín Obligado, Sofía Angriman·Aug 31, 2026SaveLearn
Drag reduction and subcritical turbulence in controlled pipe flowsPipe flow controlled by streamwise-travelling waves of azimuthal wall velocity is studied using direct numerical simulations at a bulk Reynolds number Reb=4900. A comprehensive analysis of drag…Emanuele Gallorini, Daniele Massaro, Philipp Schlatter et al.·Aug 31, 2026SaveLearn
A Physics-Informed, PIV-Based Method for Surface Pressure ReconstructionA physics-informed method for PIV-based surface pressure reconstruction that combines least-squares optimization with both local and global physical constraints is proposed. The standard deviation of…Abbas Daliri, Fulvio Scarano·Aug 31, 2026SaveLearn
Coexisting chaos and order in micro-textured elastic flowsViscoelastic fluid flows over micro-textured surfaces - densely covered by slender protrusions like cilia lining the body airways or villi covering the intestinal epithelium - underpin essential…Giulio Foggi Rota, Ricardo Arturo Lopez de la Cruz, Simon J. Haward et al.·Aug 31, 2026SaveLearn
Solute dispersion in magnetically influenced multiphase flow through a porous tube: axial transport and microrotational effectsThis study presents a theoretical investigation of generalized solute dispersion in magnetohydrodynamic multiphase tube flow with porous layers. A two-fluid analytical model is developed for…Sohel Ahmed, Nanda Poddar, Jyotirmoy Rana et al.·Aug 30, 2026SaveLearn
Data-Driven Design Optimization of Streaming-Potential-Mediated Electrokinetic Transport of Viscoelastic Fluids in MicrochannelsStreaming-potential-mediated transport of viscoelastic fluids has attracted research attention owing to its applications in electrokinetic energy conversion and microfluidic transport. Existing…Ankan Basu, Sumanta Banerjee·Aug 30, 2026SaveLearn
Physics-Informed Kolmogorov-Arnold networks for viscoelastic fluid equationsKolmogorov-Arnold Networks (KANs), inspired by the Kolmogorov Arnold representation theorem, provide an interpretable alternative to multilayer perceptrons (MLPs) by using learnable activation…Suryanshu Singh, Midhuna Suresh, Akanksha Gupta·Aug 30, 2026SaveLearn
Splashing-regime transitions and secondary-droplet scaling in oblique drop impacts on a deep poolOblique drop impact onto a deep liquid pool produces asymmetric crowns, directional jetting, and splashing transitions that cannot be characterized by the total impact inertia alone. We numerically…Ying Xiong, Yang Zhang, Lingling Xie et al.·Aug 30, 2026SaveLearn
Lagrangian particles and particle clusters in large-aspect-ratio turbulent Rayleigh-Bénard convection experimentWe perform Lagrangian particle-tracking experiments in turbulent Rayleigh-Bénard convection at aspect ratio Gamma = 10, Rayleigh number Ra = 9.3 x 107, and Prandtl number Pr = 4.8. Approximately…Prafulla P. Shevkar, Mitanjali, Roshan J. Samuel et al.·Aug 30, 2026SaveLearn
Competing instabilities in wide-gap viscoelastic Taylor-Couette flow: Taylor vs. helical vorticesThis paper presents a numerical study of the stability of a polymer solution flow between concentric cylinders with a rotating inner cylinder. The case of a small-radius inner cylinder is considered.…Alexander Proskurin·Aug 30, 2026SaveLearn
Droplet impact of emulsions on inclined microstructured surfacesDroplet impacts rarely occur on horizontal smooth surfaces, yet the combined influence of surface inclination, microstructure, and fluid composition remains poorly understood for emulsions. Here, we…Ulises Rosales-Gallegos, Laura Oropeza-Ramos, Francisco Manuel Sánchez-Arévalo et al.·Aug 29, 2026SaveLearn
From localized dryout to convective elongated vapor structures: Reynolds number effects on boiling transition in a rectangular mini-channelThree-dimensional conjugate simulations were conducted to investigate saturated flow boiling in a rectangular mini-channel, with particular emphasis on the role of inlet Reynolds number on boiling…Qi Wang, Xin Wang, Mingze Wang et al.·Aug 29, 2026SaveLearn
Spectral-Embedded Operator Learning for Three-Phase Interfacial Flow: A Ternary Cahn-Hilliard-Navier-Stokes BenchmarkOperator-learning surrogates have been benchmarked largely on single-field, single-interface problems, leaving unclear whether architectural choices validated in those settings transfer to…Muhammad Abid, Arth Sojitra, Omer San·Aug 29, 2026SaveLearn
Physics-Guided Machine Learning for Predictive Turbulent Combustion SimulationPredictive simulation of turbulent combustion remains challenging because stiff chemical kinetics, turbulent transport, molecular mixing, and heat release interact nonlinearly across unresolved…Shubhangi Bansude, Jay Patel·Aug 29, 2026SaveLearn
From Dead-Band to Steady Rotation: Three-Dimensional Vortex Dynamics of Self-Starting Vertical-Axis Wind TurbinesThe self-starting behavior of vertical-axis wind turbines is strongly influenced by the development of vortical structures along the span. However, a fully coupled high-fidelity three-dimensional…Faisal Muhammad, Basel Ismail, Muhammad Saif Ullah Khalid·Aug 28, 2026SaveLearn
NeuralFlowNet: Towards Data-Free Physics-Informed Neural Network Solutions of Navier-Stokes Equations Across Low and High Reynolds NumbersPhysics-informed neural networks (PINNs) have emerged as a compelling pathway toward trustworthy artificial-intelligence-based computational fluid dynamics (CFD) by embedding governing equations…Jayanga T. Samarasinghe, Luis De la Fuente, Laura V. Alvarez·Aug 28, 2026SaveLearn
A priori Assessment of Tensor-Network Encoding for Isotropic Turbulent FlowsTensor networks (TNs), originally developed for simulating many-body quantum systems, provide a systematic framework for approximating high-dimensional fields. This is achieved by factorizing the…Massen Esmaeili, Hirad Alipanah, Robert Pinkston et al.·Aug 28, 2026SaveLearn
Droplet sizes from impulsive capillary jets: an exponential distribution with no lower cut-offA collapsing cavity throws up a ligament, which fragments into a train of droplets whose sizes are commonly given a lower bound at a fixed multiple of the viscocapillary length μ=μ2/ρσ. We…Alfonso M. Ganan-Calvo·Aug 28, 2026SaveLearn
Internal heating in rapidly rotating convection is not a shortcut to geostrophic turbulenceConvective turbulence in planets and stars is often driven by internal heating. This forcing mechanism has also been proposed as a means of accessing the diffusion-free scalings of the geostrophic…Justin A. Nicoski, Tobias G. Oliver, Stefano Maffei et al.·Aug 28, 2026SaveLearn
Compaction in a deformable porous cylinder with elastic boundariesPerfusion of soft materials such as biological tissue or hydrogels is essential for the functioning of organ and laboratory systems such as chromatographic columns and bioreactors. Inspired by these…Richard Mcnair, Kerstin Schirrmann, Anne Juel et al.·Aug 28, 2026SaveLearn
A physics-constrained machine-learning sub-grid-scale modeling approach for turbulent premixed flamesA physics-embedded training framework is used to close the sub-grid-scale dynamics of turbulent premixed flames. The trained model augments the resolved flow equations and is trained to match its…Seung Won Suh, Jonathan F. MacArt, Luke N. Olson et al.·Aug 28, 2026SaveLearn
LES of iron-powder combustion in a jet-in-hot-coflow burner - Insights on flame structure and ignition characteristicsMicron-sized iron powders are a rapidly advancing novel energy storage technology. In order to improve the design of real-world iron-powder combustors, adequate understanding of the ignition behavior…Shyam Hemamalini, XiaoCheng Mi·Aug 28, 2026SaveLearn
Unsteady airfoil aerodynamics in attached flow: From unsteady thin airfoil theory to wind turbine applicationAttached-flow unsteady aerodynamics underpin the dynamic stall models used in wind turbine aerodynamic and aeroelastic codes, particularly over the outboard blade region that dominates power…Ang Li, Mac Gaunaa, Georg Raimund Pirrung·Aug 28, 2026SaveLearn
Inclination-Induced Crossover in the Velocity Scaling of Lubrication-Mediated Droplet MotionWe experimentally investigate the creeping motion of water droplets sliding along an inclined surface immersed in a viscous oil. The droplet velocity, width, and height are measured over a broad…Haruka Hitomi, Ko Okumura·Aug 28, 2026SaveLearn