131 papers
This study demonstrates that a machine learning-based mesh movement approach (UM2N) integrated into the Thetis software significantly accelerates and robustly enhances the accuracy of non-hydrostatic tsunami simulations for probabilistic coastal hazard assessment.
This study investigates unsteady separated flow over a three-dimensional Gaussian bump at a Reynolds number of $2.26\times10^5$, identifying four distinct broadband phenomena and revealing that the very-low-frequency spanwise meandering of the wake is dynamically coupled with the streamwise stretching of the separation zone.
This study investigates mid-air collisions between free micron-sized droplets and particles to reveal how particle density and wettability govern capture outcomes, leading to a modified effective Weber number that successfully unifies collision regime boundaries across varying size ratios and Ohnesorge numbers.
This study develops and validates a combined analytical and numerical framework linking thermal spray nozzle operating conditions to far-field aeroacoustic signatures and in-flight particle transport, demonstrating that acoustic monitoring can serve as a non-intrusive method for controlling and optimizing the thermal spray process.
This paper demonstrates that aeroacoustic emissions from intense evaporation encode sub-millisecond physics-governed fingerprints of vapor-jet dynamics, enabling the development of a theoretical framework that accurately tracks transient cavity properties and identifies critical transitions in metallic additive manufacturing.
This study utilizes Surface Evolver simulations to define the geometric and capillary pressure conditions under which "bridging" enables stable, simultaneous two-phase flow in microfluidic porous media, demonstrating that such steady flow is achievable in networks with cylindrical pillars but not in long, curved channels where snap-off dominates.
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 study demonstrates that symmetric reservoir topologies significantly enhance prediction accuracy for low-dimensional nonlinear dynamical systems with limited input dimensions, whereas high-dimensional chaotic systems like turbulent shear flow exhibit minimal sensitivity to such structural symmetries.
This paper establishes the existence and conditional energetic stability of rotating wave solutions for two-dimensional capillary liquid drops with constant vorticity by utilizing a Hamiltonian framework, bifurcation theory, and critical point theory.
Using particle tracking velocimetry with frozen deuterium tracers, this study presents evidence of anomalously long-lived vortex rings with multiquantum circulation in superfluid helium-4, challenging the standard paradigm that such vortices rapidly split into singly quantized filaments.
This paper demonstrates that while unconstrained and symmetry-preserving data-driven neural networks both outperform classical large-eddy simulation closures in accuracy, enforcing physical symmetries is crucial for generating more physically consistent velocity-gradient statistics and improving the overall quality of the learned closure.
Contrary to the conventional expectation that electrowetting promotes droplet spreading, this study reveals that applying DC voltage to specific microtextured, lubricant-infused surfaces in a Cassie wetting state induces rapid tangential droplet ejection due to unbalanced electrocapillary forces and minimal pinning, offering a new paradigm for controlled droplet transport.
This paper presents large-scale experimental findings on Lagrangian tracer dispersion in stratified turbulence, revealing that vertical motion is constrained by the ratio of velocity fluctuation to buoyancy frequency, while velocity spectra exhibit a distinct $1/f^3$ decay and a transition from Gaussian to non-Gaussian statistics as the flow shifts from wave-dominated to fully nonlinear turbulent regimes.
This paper employs a suite of global models, including resolvent and harmonic resolvent analyses, to demonstrate that triadic and nonlinear interactions between the screech mode and other flow fluctuations are critical for explaining energy redistribution and accurately predicting the complex dynamics of screeching jets.
This paper presents a mathematical proof demonstrating that the spatial symmetry of two-dimensional Kolmogorov flow solutions is preserved for all time, thereby validating clean numerical simulation (CNS) results while exposing the rapid symmetry-breaking artifacts caused by numerical noise in direct numerical simulation (DNS).
This paper introduces an SVGP-KAN framework that reconstructs time-resolved flow fields from sparse velocimetry data with accuracy comparable to classical methods while providing well-calibrated epistemic uncertainty estimates to guide experimental design.
This study investigates the similarities and differences between velocity and passive scalar scale-by-scale equilibria in turbulent channel flow with , revealing that while both fields achieve Kolmogorov equilibrium at a specific length scale below the inertial range, the characteristics of this equilibrium and the nature of their interscale transfer rates exhibit distinct Prandtl number dependencies and alignment behaviors.
This paper investigates how linear Ekman friction alters the enstrophy cascade in two-dimensional turbulence by demonstrating that, under high friction, vorticity becomes passively transported, allowing a phenomenological model based on Gaussian-distributed Lagrangian Finite Time Lyapunov Exponents to accurately predict the resulting spectral slope corrections.
This paper proposes new Van Driest-type and semi-local-type temperature transformations for compressible turbulent channel flow, derived from momentum and energy balance analyses, which successfully recover the incompressible law of the wall with high accuracy by accounting for mixing length effects, body force work, and turbulent kinetic energy flux.
This study reveals that the rupture of micron-thick liquid films is governed by a deterministic double-threshold mechanism requiring both sufficient outward driving force and cavity distortion, which explains why these films perforate despite molecular forces being negligible at that scale.