physics.flu-dyn papers | Gist.Science

Fluid dynamics explores how liquids and gases move, shaping everything from weather patterns to the flow of blood through our veins. This field bridges the gap between abstract mathematical equations and the tangible forces that drive our physical world, offering insights into turbulence, aerodynamics, and fluid behavior in complex environments.

On Gist.Science, we process every new preprint in this category directly from arXiv to make cutting-edge research accessible to everyone. Each paper is transformed into a clear, plain-language overview alongside a detailed technical summary, ensuring both students and experts can grasp the latest findings without getting lost in dense jargon.

Below, you will find the most recent studies in fluid dynamics, curated and explained for a broader audience.

Experimental Challenges in Determining Heat Transfer Efficiency Scaling in Highly Turbulent Cryogenic Rayleigh-Benard Convection

This paper presents a comprehensive analysis of experimental uncertainties and necessary data corrections for cryogenic Rayleigh-Benard convection experiments in Brno, emphasizing the critical need for rigorous uncertainty quantification to distinguish between genuine transitions to the ultimate turbulent regime and artifacts caused by non-Oberbeck-Boussinesq effects or experimental imperfections.

P. Urban, V. Musilova, P. Hanzelka, T. Kralik, M. Macek, L. Skrbek2026-03-11🔬 physics

Improving boundary-layer separation prediction by an IDDES turbulence model using a pressure-gradient sensor

This paper extends a pressure-gradient sensor from RANS to the IDDES turbulence model to improve boundary-layer separation prediction by reducing eddy viscosity and disabling the elevation term in adverse pressure-gradient regions, resulting in enhanced accuracy for stall onset and post-stall regimes across various airfoils without compromising attached-flow performance.

Benjamin S. Savino, Kevin Patrick Griffin, Bumseok Lee, Ganesh Vijayakumar, Wen Wu, Michael A. Sprague2026-03-11🔬 physics

Aliasing and phase shifting in pseudo-spectral simulations of the incompressible Navier-Stokes equations

This paper presents a comprehensive analysis and the first open-source implementation of phase-shifting dealiasing methods for pseudo-spectral simulations of incompressible Navier-Stokes equations, demonstrating that these techniques can achieve up to a threefold speedup over standard 2/3 truncation with minimal accuracy loss.

Clovis Lambert, Jason Reneuve, Pierre Augier2026-03-11🔬 physics

Droplet impact on a superhydrophobic surface under shear airflow: Lattice Boltzmann simulations and scaling analyses

This study utilizes three-dimensional lattice Boltzmann simulations and scaling analyses to investigate droplet impact on superhydrophobic surfaces under shear airflow, revealing how aerodynamic forces enhance spreading and deflection while establishing refined scaling laws to predict the resulting contact footprint and rebound characteristics.

Yang Liu, Xuan Zhang, Yiqing Guo, Xiaomin Wu, Jingchun Min2026-03-11🔬 physics

Modelling wetting-bouncing transitions of droplet impact on random rough surfaces

This study utilizes volume of fluid simulations to investigate droplet impact on random hydrophobic surfaces, revealing that while maximum spreading decreases linearly with increasing roughness and contact time remains constant, the interplay between Weber number and surface roughness governs wetting-bouncing transitions and delays bouncing with larger roughness.

Huihuang Xia, Yixiang Gan, Wei Ge2026-03-11🔬 physics

$\Lambda$ effect in rotating hydrodynamic convection

This study uses 3D simulations of rotating hydrodynamic convection to demonstrate that thermal Rossby waves drive outward radial angular momentum transport at rapid rotation rates, revealing a significant discrepancy between these findings and the assumptions underlying current mean-field theories of solar differential rotation.

P. J. Käpylä (KIS)2026-03-11🔭 astro-ph

Flow Field Reconstruction via Voronoi-Enhanced Physics-Informed Neural Networks with End-to-End Sensor Placement Optimization

This paper proposes VSOPINN, a novel framework that integrates differentiable Voronoi tessellation with Physics-Informed Neural Networks to enable end-to-end optimization of sensor placement, thereby significantly enhancing the accuracy and robustness of high-fidelity flow field reconstruction under sparse measurements and sensor failures.

Renjie Xiao, Bingteng Sun, Yiling Chen, Lin Lu, Qiang Du, Junqiang Zhu2026-03-11🤖 cs.LG

Butter on a hot pan: self-regulating dynamics of melt-lubricated sliding

This paper presents experiments and a parameter-free theoretical model that explain the self-regulating dynamics of solids melting while sliding down heated inclines, successfully predicting terminal velocities across diverse materials and conditions.

Edoardo Bellincioni, Simon Biermann, Jacco H. Snoeijer, Leen van Wijngaarden, Sander G. Huisman2026-03-11🔬 physics

The statistics and structure of dissipation in subsonic and supersonic turbulence

Using high-resolution simulations, this study reveals that kinetic energy dissipation in subsonic turbulence is vorticity-dominated, localized on small scales, and lags energy injection by approximately 1.64 turnover times, whereas supersonic dissipation is density-correlated, spans multiple scales via shocks and vorticity, and lags by only 0.48 turnover times, with distinct fractal structures identified in both regimes.

Edward Troccoli, Christoph Federrath2026-03-11🔭 astro-ph

Swirl flow in microchannels: patterned slip walls enhance heat transport

This study demonstrates that strategically arranging slip and no-slip wall patterns in straight microchannels can induce secondary swirl flows to significantly enhance convective heat transfer efficiency without increasing hydraulic resistance or requiring additional pumping power.

L. G. Chej, M. F. Carusela, A. G. Monastra, J. Harting, P. Malgaretti2026-03-11🔬 physics

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