1160 papers
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.
This experimental study demonstrates that while low duty cycle burst-modulated synthetic jets offer the highest power efficiency for reattaching flow over a stalled airfoil, higher duty cycles provide superior flow stability and consistent boundary layer control, enabling a strategic balance between aerodynamic performance and energy consumption.
This paper resolves the central problem of how finite-sized material lines stretch in chaotic and turbulent flows by demonstrating that elongation is governed by a finite-sampling process balancing ensemble and temporal averaging, mediated by particle dispersion, which necessitates a reassessment of existing experimental data and fluid-borne models.
This paper introduces ShockCast, a two-phase deep learning framework that employs adaptive time-stepping to efficiently model high-speed supersonic flows with shock waves by predicting optimal timestep sizes and advancing the system state accordingly.
This paper proposes a data-driven surrogate modeling approach to accelerate hybrid vertical equilibrium simulations for porous media flow, effectively reducing computational overhead while preserving physical properties like mass conservation and maintaining negligible errors compared to traditional methods.
This paper introduces XRePIT, an OpenFOAM-based hybrid framework that automates the coupling of neural surrogates with traditional CFD solvers via residual monitoring to achieve fast, robust, and scalable long-term unsteady flow simulations while preventing error accumulation.
This study utilizes direct numerical simulations to demonstrate that strong axial wall modulations in pipes induce early flow reversal, subcritical turbulence transitions, and fully rough turbulent regimes, necessitating the use of hydrodynamic concepts like effective hydraulic radius and sandgrain roughness to accurately characterize friction and stability across all flow regimes where classical models like the Moody diagram fail.
This study reveals that unlike viscoelastic drops which form stabilizing threads due to diverging polymer stresses, bubbles in dilute polymer solutions do not develop such threads because the polymer stress divergence is significantly weaker, with thread formation only occurring at high polymer concentrations where needle size becomes a critical factor.
This paper demonstrates that deflated lipid vesicles in uniaxial extensional flow exist only in metastable stationary states that eventually undergo unbounded elongation beyond a critical extension rate, a phenomenon characterized analytically and confirmed through numerical simulations.
This paper describes an inquiry-based physics activity for third-year undergraduate students that uses a humorous question about the Geneva water jet to teach fluid dynamics, critical reasoning, and Fermi-type estimation through the application of Bernoulli's principle and power analysis.
This study utilizes a high-resolution large-eddy simulation to demonstrate how spatially varying mesoscale eddy forcing significantly modulates the structure, intensity, and kinetic energy budgets of submesoscale fronts and boundary layer turbulence, revealing distinct turbulent hotspots and contrasting production mechanisms driven by mesoscale convergence and divergence.