989 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 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.
This paper presents a review of a statistical mechanics approach, based on Jaynes' information-theoretical entropy, which provides a manageable continuum-scale description of immiscible two-phase flow in porous media by deriving thermodynamics-like relations and identifying new emergent variables such as co-moving velocity.
This paper presents a physics-based pore-network model for yield-stress fluid flow in disordered porous media that accurately captures nonlinear transport and channelization by deriving pressure-flow relations from pore-scale mechanics, revealing that near-yield pressure losses are governed by constriction statistics rather than obstacle-scale length.
This paper extends the Theory of Porous Media to model non-isothermal material injection into porous structures, specifically for percutaneous vertebroplasty, by incorporating local thermal non-equilibrium conditions and demonstrating thermodynamic consistency through numerical simulations.
This study combines theoretical analysis and numerical simulations to demonstrate that a stationary triangular strain field induces resonant instability in a Batchelor vortex, where the introduction of axial flow reduces critical layer damping to activate additional unstable mode pairs and ultimately shifts the dominant instability from a specific mode combination to one involving the first branches of both azimuthal wavenumbers.
This study demonstrates that directional light stimuli can trigger bioconvection rolls in suspensions of phototactic microalgae (*Chlamydomonas reinhardtii*) to achieve the controlled collective transport of hundreds of large passive particles, offering potential applications in targeted drug delivery and decontamination.
This paper establishes the theoretical framework for solving axial symmetric Navier-Stokes equations in a cylindrical topology by constructing a complete basis of harmonic 1-forms comprising Beltrami, anti-Beltrami, and closed components, thereby reducing the problem to a hierarchy of quadratic relations suitable for future optimization via Physics-Informed Neural Networks.
This paper provides a learner-focused, methodical exposition on deriving the General Lagrangian Mean (GLM) and pseudo-Lagrangian equations for inviscid, incompressible, homogeneous fluids to describe the interactions between mean flows and waves.
This paper presents a novel theoretical and numerical framework to demonstrate that non-rotating quasi-2D viscous flows over topographies settle into steady states where large-scale vortices occupy topographic valleys, a behavior distinct from rotating systems and significant for understanding slow planetary flows.
This paper introduces FDTO, a memory-efficient and accurate optimization-based solver that combines finite-difference time-stepping with body-fitted curvilinear grids to overcome the conditioning and efficiency limitations of existing methods like PINNs and ODIL for solving incompressible flow problems.