Numerical simulations of simultaneous pair-drop impacts and their energeticsWe present three-dimensional direct numerical simulations of the simultaneous impact of two identical drops on an hydrophobic substrate, varying the relative strength of capillary and viscous effects…Ziyao Zhang, Alfonso A. Castrejon-Pita, Wouter Mostert·Jan 27, 2026SaveLearn
Unveiling crown-finger instability of a non-spherical drop impacting a liquid surfaceWe present a three-dimensional numerical study of the splashing dynamics of non-spherical droplets impacting a quiescent liquid film, covering a wide range of aspect ratios (Ar) and Weber numbers…Nagula Venkata Anirudh, Sachidananda Behera, Kirti Chandra Sahu·Jan 27, 2026SaveLearn
Investigating the mechanism by which finite-size heavy particles are entrained in turbulent open channel flow over a smooth surfaceThe dynamics of entrainment of finite-size heavy particles in a turbulent open channel flow over a smooth surface are analyzed. Three types of simulations, namely with freely moving,…Tatia Bzikadze, Markus Weyrauch, Markus Uhlmann·Jan 27, 2026SaveLearn
Development of strongly nonlinear structures at the charged boundary of a non-conducting liquid in an electric fieldDirect numerical simulation of the strongly nonlinear stages of instability development for a non-conducting liquid with a charged free surface in a normal electric field is performed. It is…N. M. Zubarev, E. A. Kochurin·Jan 27, 2026SaveLearn
Divergence-Free Diffusion Models for Incompressible Fluid FlowsGenerative diffusion models are extensively used in unsupervised and self-supervised machine learning with the aim to generate new samples from a probability distribution estimated with a set of…Wilfried Genuist, Éric Savin, Filippo Gatti et al.·Jan 27, 2026SaveLearn
Physics-Informed Transformer operator for the prediction of three-dimensional turbulenceData-driven turbulence prediction methods often face challenges related to data dependency and lack of physical interpretability. In this paper, we propose a physics-informed Transformer operator…Zhihong Guo, Sunan Zhao, Huiyu Yang et al.·Jan 27, 2026SaveLearn
A new form of mixing in turbulent sedimentationWe study the sedimentation of finite-size inertial particles in a Rayleigh-Taylor-like setup using state-of-the-art direct numerical simulations. The falling particles are observed to produce two…Simone Tandurella, Marco Edoardo Rosti, Stefano Musacchio et al.·Jan 27, 2026SaveLearn
A theoretical model for oceanic submesoscales under next-order effects of strain and turbulenceSubmesoscale currents in the oceanic mixed layer, comprising fronts, eddies, and filaments, are characterized by O(1) Rossby numbers (Ro). These features, which constantly interact with…Shirui Peng, Abigail Bodner·Jan 26, 2026SaveLearn
N.E.O.N.-Bridge Geometry Determination: Turbulence Modeling of Individual N.E.O.N.-Bridge SegmentThe N.E.O.N.-Bridge is a capstone project being developed by students at TAMUCC, under the oversight of Los Alamos National Laboratory. The project requires the development of a hull geometry for an…Arturo Rodriguez, Dominic Alexander, Nicolas J. Torres et al.·Jan 26, 2026SaveLearn
Spontaneous epicuticular charging affects droplet dynamics on living leavesHow water droplets move and slide on leaves influences plant ecophysiological and abiotic interactions, as well as the design of advanced bio-inspired wetting materials. Despite cross-disciplinary…Mihir Durve, Serena Armiento, Benham Kamare et al.·Jan 26, 2026SaveLearn
An Efficient Wavelet-based Physics Informed Residual Neural Networks for Flow Field Reconstruction with Extremely Sparse DataThis paper introduces wavelet-physics-informed residual neural networks (W-PIRNNs) to study complex fluid flow problems by reconstructing the flow field from highly sparse, supervised data. Our…Biswanath Barman, Rajendra K. Ray·Jan 26, 2026SaveLearn
Enhanced Wall Boundary Modeling for Turbulent Flows Using the Lattice Boltzmann Method with Adaptive Cartesian GridsWe propose an enhanced wall-boundary treatment for the lattice Boltzmann method (LBM), designed for high-Reynolds-number turbulent flows on adaptively refined Cartesian grids. The method improves the…Jorge Ponsin, Carlos Lozano·Jan 26, 2026SaveLearn
Seeing through water: diffuse image-based depth measurements in three-dimensional dam-break flowsIn this work we present a dedicated experimental facility and an image-based method for measuring water depth in a radially spreading dam-break wave propagating over a horizontal plane. The facility…Elia Buono, Roberto Bosio, Andrea Cagninei et al.·Jan 26, 2026SaveLearn
Quantum vortex driven Kelvin wave in the thermal background of superfluid heliumWe present numerical evidence that Kelvin waves (KWs) on quantized vortices in superfluid helium can be directly observed in the normal fluid component at finite temperatures. Using the Fully cOUpled…Simone Scollo, Luca Galantucci, Giorgio Krstulovic·Jan 26, 2026SaveLearn
Topology optimization of passively moving rigid bodies in unsteady flowsThis study proposes the topology optimization method for moving rigid bodies subjected to forces from fluid flow, such as sails and turbines, with an unsteady time-dependent formulation. Unlike…Yuta Tanabe, Kentaro Yaji, Kuniharu Ushijima·Jan 26, 2026SaveLearn
The global attractor of the Toner-Tu-Swift-Hohenberg equations of active turbulence and its propertiesThe Toner-Tu-Swift-Hohenberg (TTSH) equations are one of the basic equations that are used to model turbulent behaviour in active matter, specifically the swarming of bacteria in suspension. They…Daniel W. Boutros, Kolluru Venkata Kiran, John D. Gibbon et al.·Jan 26, 2026SaveLearn
Experimental investigation of wall-pressure fluctuations on a fully appended submarine model at high Reynolds numbersThis paper addresses a critical gap in hydroacoustics through a systematic wind tunnel investigation of wall-pressure fluctuations on the fully appended DARPA SUBOFF model at operationally relevant…Peng Jiang, Haoyu Zhang, Yi Dai et al.·Jan 26, 2026SaveLearn
Log-linear law of the mean streamwise velocity in turbulent boundary layers with moderate adverse pressure gradientsAn essential feature of canonical zero-pressure-gradient (ZPG) turbulent boundary layers (TBLs) is that the mean streamwise velocity exhibits a logarithmic dependence on the wall-normal distance,…Fuzhou Lyu, Lihao Zhao, Weixi Huang et al.·Jan 26, 2026SaveLearn
Flash evaporation Riemann Problem: Formulation and its Exact SolutionFlash evaporation, a liquid-to-gas phase transition phenomenon in real fluids, is prevalent in aerospace propulsion systems. To elucidate the physical mechanisms of such complex flows and provide…Haotong Bai, Ping Yi, Yixin Yang et al.·Jan 26, 2026SaveLearn
Multiscale quasi time-periodic coherent structures in shear flowsAttempts to disentangle shear-flow turbulence often focus on identifying relatively simple solutions, such as travelling waves or periodic orbits. We show, however, that capturing multiscale features…Runjie Song, Kengo Deguchi, Genta Kawahara et al.·Jan 25, 2026SaveLearn
Beyond secondary instability: on the emergence of finite-amplitude waves in G\"ortler vorticesG\"ortler vortices developing over a concave wall support rapidly oscillating wavelike disturbances through secondary instabilities. Although experiments indicate that the finite-amplitude evolution…Runjie Song, Kengo Deguchi·Jan 25, 2026SaveLearn
Scalar Dispersion from Wall-Mounted Cylinders at Large Reynolds Number: Plume Transitions and Regime ClassificationThis study presents a comprehensive experimental investigation of scalar dispersion from the free end of wall-mounted cylindrical obstacles immersed in a large-Reynolds-number turbulent boundary…Kofi Agyemang Amankwah, Juan Carlos Cuevas Bautista, Theresa Oehmke et al.·Jan 25, 2026SaveLearn
Quantum reinforcement learning-based active flow controlActive flow control remains a significant challenge due to the high-dimensional, nonlinear nature of fluid dynamics. Quantum machine learning may prove effective in addressing these issues, given…Hongfu Zhang, Hui Tang·Jan 25, 2026SaveLearn
Cavitation Dynamics in Venturi-Type Microchannels: Experimental Observations and Numerical ModelingCavitation in fluids can severely hinder the efficiency of the associated flows. This undesired phenomenon is strongly influenced by local flow conditions, flow orientation, proximity to boundaries…Md Naim Hossain, Anish Pal, Sayan Karmakar et al.·Jan 25, 2026SaveLearn
DDFKs: Fluid Simulation with Dynamic Divergence-Free KernelsFluid simulations based on memory-efficient spatial representations like implicit neural spatial representations (INSRs) and Gaussian spatial representation (GSR), where the velocity fields are…Jingrui Xing, Yizao Tang, Mengyu Chu et al.·Jan 25, 2026SaveLearn