1225 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 paper demonstrates that vortical Stokes flows, often overlooked in microfluidic particle manipulation, can actively and irreversibly displace single particles or rigid dumbbells across streamlines by exploiting hydrodynamic interactions with boundaries or specific flow symmetry breaking, offering a versatile mechanism for controlling particle trajectories and attachment.
This study presents the first direct, time-resolved three-dimensional measurements of the flow field generated by a free-swimming *Chlamydomonas reinhardtii* alga, revealing complex vortex dynamics and topological changes that refine our understanding of microbial locomotion, feeding efficiency, and energy expenditure.
This paper presents and validates a novel three-dimensional computational fluid dynamics macro-model that incorporates pore adsorption occupation rate to accurately simulate CO2 adsorption in packed beds, demonstrating that a new high-surface-area geometric design significantly enhances process productivity compared to traditional cylindrical configurations.
This paper utilizes an optimized microfluidic device to demonstrate that while *Escherichia coli* exhibits a chemotactic drift velocity proportional to the logarithmic gradient of chemoattractants in fluid, this response is significantly inhibited when the bacteria are on surfaces.
This study utilizes a large-scale, patient-specific computational fluid dynamics framework to demonstrate that specific abdominal aortic aneurysm geometric features reliably dictate hemodynamic patterns, suggesting these geometry-driven flow signatures can serve as valuable biomarkers for predicting aneurysm growth and rupture risk.
This study utilizes direct numerical simulations of isotropic turbulence at Reynolds numbers up to 1300 to demonstrate that the behavior of the second-order Lagrangian velocity structure function is significantly shaped by the limited accessible time scales and the strong, incomplete cancellation between convective and local contributions driven by particle displacements, suggesting that the scaling constant may be sensitive to intermittency while remaining potentially asymptotically constant at even higher Reynolds numbers.
This study combines lattice Boltzmann simulations and hydrodynamic theory to demonstrate how particle shape, channel confinement, and fluid inertia collectively dictate the translational velocity, optimal aspect ratio, and complex oscillatory or spiral trajectories of driven spheroids in microfluidic flows.
This study demonstrates that the dominant mechanism driving enhanced flow resistance in viscoelastic porous media depends on the specific interplay between fluid rheology and geometric disorder, where shear-thinning fluids exhibit resistance correlated with chaotic fluctuations while constant-viscosity fluids show resistance driven by extensional viscosity effects that are sensitive to disorder only in aligned post arrays.
This experimental study investigates how the "pumping" maneuver, involving periodic pitching oscillations of a windsurf sail, enhances drive force and extends the effective angle of attack range compared to static conditions, while also increasing detrimental drift forces, thereby providing data to optimize athlete performance and velocity prediction models.
This paper presents a multi-scale analysis of solute transport and adsorption in graded porous filters by deriving a generalized macroscopic model that departs from standard solenoidal constraints to account for non-equilibrium coupling between concentration and velocity, revealing how porosity gradients and mixture dynamics critically influence filtration efficiency and optimal design.