1240 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 study demonstrates that aerofoil shape optimisation for curvilinear blade kinematics is effective only in high-solidity configurations where light dynamic stall allows geometric modifications to suppress leading-edge vortex separation, whereas deep dynamic stall renders such optimisation ineffective due to dominant flow separation.
This paper introduces Manifold-Adapted Sparse RBF-SINDy, an unsupervised framework that recovers the geometric skeleton of turbulent wall flow dynamics from wall measurements alone by correcting structural biases in library construction through arc-length resampling and Mahalanobis metric clustering, thereby enabling the discovery of distinct dynamical states and the reconstruction of the system's invariant measure.
This study employs RANS simulations to demonstrate that increasing the inlet Reynolds number in an isothermal swirl combustor significantly intensifies axial velocities and recirculation zones while maintaining a stable inner recirculation zone location, suggesting robust flame anchoring under varying inertial conditions.
This paper presents a novel high-resolution experimental platform using 3D Lagrangian particle tracking and advanced geometric filtering to reliably measure the sub-Kolmogorov clustering and collision dynamics of inertial micro-droplets in air turbulence, overcoming previous limitations caused by spurious artifacts.
This paper demonstrates that spatial symmetry acts as a fundamental physical optimality principle for efficient locomotion in viscous fluids, explaining the prevalence of symmetric swimming gaits in nature through a hydrodynamic duality that proves symmetric strokes yield optimal speeds and efficiencies unattainable by generic non-symmetric strokes.
This paper investigates the nonlinear evolution of the Sun's most prominent high-latitude inertial mode () on a differentially rotating sphere, demonstrating through direct numerical simulations that it undergoes a supercritical Hopf bifurcation where Reynolds stresses smooth the differential rotation to saturate the instability at amplitudes comparable to solar observations.
This paper demonstrates that the macroscopic behavior of non-equilibrium two-phase flow in porous media can be successfully predicted by mapping droplet distributions onto an equilibrium spin-glass model derived via machine learning and the maximum entropy principle, revealing that the transition to a glassy flow regime with hysteresis and non-linear dynamics coincides with the spin-glass phase transition.
This study investigates autocatalytic reaction fronts in turbulent aqueous flows using oscillating grids and optical diagnostics, revealing distinct propagation regimes and demonstrating that even minor density differences significantly influence front dynamics by coupling chemical kinetics with flow-induced mixing.
This study introduces a computational framework combining Design-by-Morphing and Bayesian optimization to generate undulatory swimming profiles that achieve 16%–35% higher propulsive efficiency than traditional anguilliform and carangiform modes by optimizing kinematic parameters and redistributing energy through favorable surface stress distributions.
This paper presents an improved mechanistic model for wave energy attenuation in drifting sea ice that accounts for ice-water drag, successfully replicating observed non-exponential decay profiles and spatial variations in attenuation rates that traditional exponential models fail to capture.