137 papers
This paper introduces a novel, low-cost, data-driven framework using Vector Quantization Principal Component Analysis (VQPCA) to identify structural sensitivity zones and dominant flow patterns in fluid dynamics, successfully validating the method on cylinder wakes and synthetic jets to enable effective flow control strategies without relying on adjoint methods.
This paper presents fast, linear-time solvers for the Reynolds equation on piecewise linear geometries using Schur complement inversion, which achieve second-order accuracy for non-linear heights and are validated by comparing their solutions against the Stokes equation to assess the limits of lubrication theory.
This paper presents a method to fabricate tunable, centimetric elastic capsules that function as macroscopic "elasto-drops" with adjustable effective surface tension, demonstrating that their dynamics are governed primarily by hoop stress rather than bending stiffness.
This paper demonstrates that the phase separation dynamics of multicomponent fluid mixtures are fundamentally governed by topological constraints analogous to mathematical coloring problems, which in confined geometries can arrest hydrodynamic coalescence and lead to universal coarsening behavior.
This paper presents a Hybrid High-Order (HHO) formulation for variable density incompressible flows that ensures exact volume conservation and pure density advection through a combination of hybrid spatial discretization and ESDIRK time stepping, demonstrating robustness, pressure-independence, and high-order accuracy in simulating immiscible fluid mixtures and Rayleigh-Taylor instabilities.
This paper presents a new formulation of extended lubrication theory and demonstrates through comparison with existing models and numerical Stokes solutions that its accuracy depends significantly on surface variation magnitude and length scale ratio, making it suitable for a wide range of fluid domain geometries.
This paper extends a theoretical model of wave attenuation through broken floating ice of random thickness to finite water depths, utilizing multiple scales analysis to derive an explicit attenuation expression that predicts an eighth-power frequency dependence at low frequencies and shows strong agreement with numerical simulations and field measurements.
This paper demonstrates that arbitrarily small odd-parity perturbations fundamentally alter the topology of zero-helicity vortices and field-reversed configurations by transforming their interior flux surfaces from toroidal to simply connected, thereby necessitating a revision of established models in both fusion confinement physics and fluid dynamics.
This paper presents experimental evidence and a supporting theoretical model demonstrating that the interaction between surface waves and ambient sub-surface turbulence generates a near-surface Eulerian-mean flow that opposes and partially cancels the Stokes drift, thereby significantly altering the vertical redistribution of momentum and the transport of water-borne materials in the ocean.
This paper investigates the sensitivity of the Reynolds lubrication equation to large surface gradients and compares its predictions with Stokes flow solutions in various corner geometries, demonstrating that while pressure drop errors increase with steeper gradients, the recirculation zones observed in Stokes flows do not significantly disrupt bulk flow characteristics.
This study explains the emergence of nearly constant mean angular momentum profiles in high-Reynolds-number Taylor–Couette turbulence by demonstrating that incorporating the history effects of Reynolds stress, specifically through the convection term modeled via the Jaumann derivative, is essential for accurately predicting these profiles in the featureless ultimate regime.
This paper proposes a probabilistic reconstruction method that enhances the "Advection of the image point" hyper-parameterisation approach to accurately and efficiently approximate ocean dynamics from limited data, demonstrating superior speed and accuracy compared to traditional high-resolution NEMO model simulations while offering potential applications in operational forecasting and data gap filling.
This paper presents a revised, energy-conserving theoretical model for the attenuation of long waves through regions of irregular floating ice and random bathymetry, which corrects previous over-predictions by utilizing ensemble averaging of transfer matrix eigenvalues and successfully reproduces key features of field data, including frequency-dependent attenuation rates and high-frequency roll-over effects.
This study demonstrates that optimizing the particle-to-droplet size ratio, particle position, and oil layer thickness significantly enhances the sensitivity and uniformity of fluorescence detection in droplet-based optomicrofluidic systems, enabling effective label-free particle detection and improved single-cell assays.
This paper presents a robust compressible APIC/FLIP method that combines conservative split resampling and adaptive APIC/PIC blending to eliminate particle depletion artifacts in long-time Richtmyer-Meshkov instability simulations while preserving vortex dynamics and matching reference Euler growth metrics.
This paper resolves the discrepancy between Kazantsev theory and numerical simulations regarding small-scale dynamo decay at small Prandtl numbers by demonstrating that the observed exponential decay is a temporary effect caused by large-scale velocity correlator flattening, which corresponds to a long-living virtual level in the associated Schrödinger-type equation.
This paper presents a thermodynamically consistent, non-isothermal phase-field model that incorporates Korteweg stress to accurately simulate the coupled dynamics of melt flow and solidification, revealing how thermal capillary effects and viscosity interpolation schemes influence dendritic growth morphology and velocity.