Probing superhydrophobic surface topography using droplet adhesionUnderstanding contact line dynamics on superhydrophobic surfaces with microscopic structures is essential for designing materials with reduced drag, anti-icing, self-cleaning, and anti-fouling…Pawan Kumar, Marta Krasowska, Joseph D. Berry·Nov 25, 2025SaveLearn
Simulating droplet adhesion on superhydrophobic surfacesA numerical model is proposed to simulate the adhesion, compression, and subsequent detachment of a micro-liter droplet from a superhydrophobic surface composed of chemically homogeneous pillars…Pawan Kumar, Joseph D. Berry·Nov 25, 2025SaveLearn
Modeling of turbulence kinetic energy added by wind-turbine wakes in the atmospheric boundary layerAccurate prediction of turbulence kinetic energy (TKE) added by wind-turbine wakes is of significant scientific value for understanding the wake recovery mechanisms. Furthermore, this physical…Bowen Du, Jingshan Zhu, Baoliang Li et al.·Nov 25, 2025SaveLearn
Realistic sheared flow profile effects on acoustic impedance eduction in small 3D-ductsWe investigate the influence of realistic sheared grazing flow on acoustic propagation in three-dimensional rectangular ducts. We show that conclusions reached in the literature about the effects of…Lucas A. Bonomo, Julio A. Cordioli, Edward J. Brambley et al.·Nov 24, 2025SaveLearn
Latent-Space Non-Linear Model Predictive Control for Partially-Observable SystemsThis work presents a scalable control framework based on nonlinear Model Predictive Control for high-dimensional dynamical systems. The proposed approach addresses the key challenges of model…Luigi Marra, Onofrio Semeraro, Lionel Mathelin et al.·Nov 24, 2025SaveLearn
A Geometric Foundation for the Universal Laws of TurbulenceWe propose a theoretical framework where the dissipative structures of turbulence emerge from microscopic path uncertainty. By modeling fluid parcels as stochastic tracers governed by the…Marcial Sanchis-Agudo, Ricardo Vinuesa·Nov 24, 2025SaveLearn
Toward end-to-end quantum simulation of rapidly distorted turbulenceWe propose an end-to-end quantum algorithm to simulate rapidly distorted turbulence via linear combination of Hamiltonian (LCHS). The algorithm comprises three primary stages: the efficient…Zhaoyuan Meng, Leyu Chen, Jin-Peng Liu et al.·Nov 24, 2025SaveLearn
Quantum machine learning for efficient reduced order modelling of turbulent flowsAccurately predicting turbulent flows remains a central challenge in fluid dynamics due to their high dimensionality and intrinsic nonlinearity. Recent developments in quantum algorithms and machine…Han Li, Yutong Lou, Dunhui Xiao·Nov 23, 2025SaveLearn
Deformation and stability of a gas bubble in a biaxial straining flowTaking advantage of the recently developed L-ALE framework [Sierra-Ausin et al., Phys. Rev. Fluids 7, 113603 (2022)], we characterize the linear dynamics of an incompressible gas…Aliénor Rivière, David Fabre, Jacques Magnaudet et al.·Nov 23, 2025SaveLearn
End-pinching and inertial-capillary reopening in viscoplastic ligaments at low Ohnesorge numberCapillary retraction of liquid ligaments is well understood for Newtonian fluids, whereas viscoplastic effects remain comparatively unexplored. Here, we consider Herschel-Bulkley fluids, which…Shu Yang, Fahim Tanfeez Mahmood, C. Ricardo Constante-Amores·Nov 23, 2025SaveLearn
Field Inversion Machine Learning for Time-Resolved Unsteady Flows in Airfoil Dynamic StallWhile many existing machine learning studies have focused on augmenting Reynolds averaged Navier Stokes (RANS) turbulence models for steady or time averaged unsteady flows, this paper takes a first…Zilong Li, Lean Fang, Anupam Sharma et al.·Nov 23, 2025SaveLearn
Hybrid RANS-LES simulation of transverse fuel injection in a Mach-10 scramjet engineHypersonic flight poses unique propulsion challenges, requiring engines that maintain thrust, efficiency, and stability across a wide range of operating conditions. These engines must transition…Nick Plewacki, Benjamin Kale, Manu Kamin et al.·Nov 22, 2025SaveLearn
A Modified Suspension-Balance Model for Deformable Particle Suspensions: Application to Blood Flows with Cell-Free LayerWe propose a modified suspension balance model (SBM) for the flow of red blood cells (RBCs) and other deformable particle suspensions in confined geometries. Specifically, the method includes the…Hugo A Castillo-Sánchez, Weston Ortiz, Richard Martin et al.·Nov 22, 2025SaveLearn
Measuring fluxes between wave and geostrophic features in rotating non-hydrostatic flows with variable stratificationA challenge in physical oceanography is quantifying the energy content of waves and balanced flows and the fluxes that connect these reservoirs with their sources and sinks. Methodological…Jeffrey J. Early, Gerardo Hernández-Dueñas, Leslie M. Smith et al.·Nov 22, 2025SaveLearn
Electroosmotic lubrication flow in constricted microchannels with a compliant wall and DLVO interactionsWe develop a nonlinear model for electroosmotic transport in a constricted microchannel with a compliant lower wall, with applications to soft microfluidics, bio-inspired sensing, and energy…Subhajyoti Sahoo, Ameeya Kumar Nayak·Nov 22, 2025SaveLearn
Subspace Acceleration for Efficient Nonlinear Water Wave SimulationEfficient simulation of nonlinear and dispersive free-surface flows governed by the incompressible Navier-Stokes equations remains a central challenge in ocean and coastal engineering. The…Rasmus Kleist Hørlyck Sørensen, Margherita Guido, Allan Peter Engsig-Karup et al.·Nov 22, 2025SaveLearn
Assessment of Gradient-based Reconstruction and Artificial Diffusivity Methods in Simulating High-Speed Compressible FlowsThe two promising methods for capturing high-speed flows are local artificial diffusivity (LAD) and centralised gradient-based reconstruction (C-GBR), the former being computationally economical and…R. R. Kumar, S. Saini, N. R. Vadlamani et al.·Nov 22, 2025SaveLearn
Addressing A Posteriori Performance Degradation in Neural Network Subgrid Stress ModelsNeural network subgrid stress models often have a priori performance that is far better than the a posteriori performance, leading to neural network models that look very promising a priori…Andy Wu, Sanjiva K. Lele·Nov 21, 2025SaveLearn
Transport and removal of a passive tracer in porous media employing surface washingThis experimental study investigates the dynamics of surface washing to remove a passive tracer from a porous plate by a gravity-driven liquid film across its surface. A disodium fluorescein tracer…Georgia Ioannou, Francesco Paolo Cont`o, Merlin A. Etzold et al.·Nov 21, 2025SaveLearn
Collapse of turbulence in optimised curved pipe flowThe increased friction caused by turbulence is a significant contributor to energy consumption in the fluid-transport and piping industries. Here we describe a passive approach to reduce friction: we…Eman Bagheri, Stefan Becker, Philipp Schlatter·Nov 21, 2025SaveLearn
A Priori Assessment of Rotational Invariance in Multiscale Convolutional Neural Network-Based Subgrid-Scale Model for Wall-Bounded Turbulent FlowsThis study proposes a rotationally invariant data-driven subgrid-scale (SGS) model for large-eddy simulation (LES) of wall-bounded turbulent flows. Building upon the multiscale convolutional neural…Bahrul Jalaali, Kie Okabayashi·Nov 21, 2025SaveLearn
Perspiration vapor lightens near skin air but hinders human evaporative cooling in arid heatSweat evaporation is the body's primary cooling mechanism, yet the physical factors governing it are not fully understood. We identify a dueling buoyancy effect in the context of the human body,…Shri H. Viswanathan, Ankit Joshi, Isabella DeClair et al.·Nov 21, 2025SaveLearn
Extreme vortex gust encounters by a square wingExtreme gust encounters by finite wings with disturbance velocity exceeding their cruise speed remain largely unexplored, while particularly relevant to miniature-scale aircraft. This study considers…Hiroto Odaka, Luke Smith, Kunihiko Taira·Nov 21, 2025SaveLearn
Hierarchical Bayesian constitutive model selection for high-strain-rate soft material characterizationThe high-fidelity characterization of soft, tissue-like materials under ultra-high-strain-rate conditions is critical in engineering and medicine. Still, it remains challenging due to limited optical…Victor Sanchez, Sawyer Remillard, Bachir A. Abeid et al.·Nov 20, 2025SaveLearn
General-purpose Data-driven Wall Model for Low-speed Flows Part I: Baseline ModelWe present a general-purpose wall model for large-eddy simulation. The model builds on the building-block flow principle, leveraging essential physics from simple flows to train a generalizable model…Yuenong Ling, Imran Hayat, Konrad Goc et al.·Nov 20, 2025SaveLearn