Pressure reconstruction from error-embedded gradient measurements: a Gaussian-process generalization of Green's function integrationReconstructing scalar fields from error-embedded gradient measurements is a fundamental linear inverse problem with broad applications in computational physics. Conventional approaches, such as…Zejian You, Mohamed Amine Abassi, Xiaofeng Liu et al.·May 24, 2026SaveLearn
Hierarchical Iterative Method in CFD Numerical SolutionWe propose a hierarchical asynchronous iterative method that differs from the traditional synchronous iterative method used across the entire flow field in conventional Computational Fluid Dynamics…Dehong Meng, Hao Yue, Hao Wang et al.·May 24, 2026SaveLearn
Experimental study of turbulent thermal diffusion of inertial particles in a convective turbulence forced by oscillating gridsWe investigate the phenomenon of turbulent thermal diffusion of inertial solid particles in laboratory experiments with convective turbulence forced by one or two oscillating grids in the air.…E. Elmakies, O. Shildkrot, N. Kleeorin et al.·May 24, 2026SaveLearn
Stability Analysis of Thermohaline Convection With a Time-Varying Shear Flow Using the Lyapunov MethodThis work demonstrates that the Lyapunov method can effectively identify the growth rate of a linear time-periodic system describing cold fresh water on top of hot salty water with a periodically…Kalin Kochnev, Chang Liu·May 24, 2026SaveLearn
A contaminant-concentration-dependent surface tension does not explain the absence of solutal Marangoni flow in evaporating dropletsTheoretical models of evaporating droplets predict Marangoni flows orders of magnitude faster than those observed experimentally. While this discrepancy is often attributed to surface contamination,…Javier Martínez-Puig, Théophile Gaichies, Javier Rodríguez-Rodríguez·May 23, 2026SaveLearn
On the joint estimation of flow fields and particle properties from Lagrangian dataWe numerically investigate the feasibility and limits of jointly estimating flow fields and unknown particle properties (e.g., position, size, and density) from Lagrangian particle tracking (LPT)…Ke Zhou, Samuel J. Grauer·May 23, 2026SaveLearn
Information-theoretic characterization of turbulence intermittencySmall-scale intermittency is studied as the deviation of the probability distributions of pseudodissipation, dissipation and enstrophy in turbulence from those of a Gaussian random velocity field.…Shreyashri Sarkar, Rishita Das·May 23, 2026SaveLearn
Quasi-DNS with chemical kinetics for near blow-out dynamics of a single multi-injection burner element for future gas turbine applicationsGas turbine combustors increasingly operate close to lean blow-out (LBO) limits, where small changes in fuel-air mixing or flow structure can destabilize the flame and alter near-blow-out dynamics.…Kazuki Abe, Youhi Morii, Kaoru Maruta·May 22, 2026SaveLearn
Divergence-aware adaptive prediction framework for accelerating CFD simulations of unsteady flowsReliable long-horizon prediction remains a challenge for data-driven CFD surrogates, because offline-trained models accumulate autoregressive errors and lose accuracy when operating conditions…Xiangrui Zou, Zhuoqun Zhao, Guillermo Barragán et al.·May 22, 2026SaveLearn
On the Two-Dimensional Structure and Asymmetries of Ionic Liquid Electrospray PlumesHere we present the first fully two-dimensional time-of-flight (TOF) mass spectrometry survey of a vacuum electrospray plume, generated by a tungsten needle externally-wetted with the ionic liquid…Zach Ulibarri, Giuliana Hofheins, Sophia Gessman et al.·May 22, 2026SaveLearn
Particle Image Velocimetry of 3D printed vascular fluidic phantom devicesAltered hemodynamics play a key role in cerebrovascular diseases such as aneurysms and stenosis. However, in vivo imaging lacks the spatial resolution required to resolve flow dynamics in small…Job van Essen, Ahmed Sharaf, Denzel Hopman et al.·May 22, 2026SaveLearn
Soft Mobility TheoryPredicting how a deformable body moves and deforms in a viscous flow underlies problems ranging from microorganism locomotion to soft microrobotics, yet existing frameworks are either…Christophe Eloy·May 22, 2026SaveLearn
A derivation of viscous thin film flow equations on curved surfacesGeneral equations are derived for slow viscous thin fluid film flows on curved surfaces through an extension of Leal's pedagogical approach, which leaves the characteristic velocity scale…J. A. Hanna, R. S. Hutton·May 22, 2026SaveLearn
CHIMERA: A wide Reynolds number range Taylor-Couette facilityWe present a Taylor-Couette facility designed to investigate angular momentum transport over a wide range of Reynolds numbers, from moderate regimes in gases to extreme and potentially quantum…Pantxo Diribarne, Jérôme Chartier, Jérôme Duplat et al.·May 22, 2026SaveLearn
Full-component reconstruction of three-dimensional fluid stress tensorsForces govern how fluids deform biological tissues, regulate cardiovascular function, and determine the performance and failure of soft materials. Recent advances in flow birefringence, including the…Shunsuke Kumagai, Shun Miyatake, Ryusuke Cho et al.·May 22, 2026SaveLearn
On the Applicability of the Gas-Kinetic Scheme with Kinetic Boundary Conditions for Near-Continuum Hypersonic FlowsRarefied gas effects are of critical importance for the aerodynamic performance of hypersonic vehicles operating at high altitudes. In these scenarios, conventional computational fluid dynamics (CFD)…Wenpei Long, Junzhe Cao, Yue Zhang et al.·May 22, 2026SaveLearn
Free surfaces in turbulence -- A unified framework from water surfaces to elastic solidsWhat do the ocean surface and a swaying flag have in common? Both are deformable surfaces exhibiting chaotic motion when exposed to turbulent flows. Whether such motion is primarily driven by flow…Giulio Foggi Rota, Andrea Mazzino, Marco Edoardo Rosti·May 22, 2026SaveLearn
A fast Physics-Informed Neural Networks based approach to the 2D design of turbine bladesRapid aerodynamic screening of turbomachinery blades across wide operating envelopes remains a major computational bottleneck in preliminary design, particularly for energy-conversion and storage…Yuan Huang, Francesca di Mare·May 22, 2026SaveLearn
Turbulence generation and data assimilation in wall-bounded flows with a latent diffusion modelWall-bounded turbulent flows are chaotic and multiscale, rendering fast prediction at high Reynolds numbers computationally prohibitive in applications such as wind farms. Classical data assimilation…Fabian Steinbrenner, Baris Turan, Hao Teng et al.·May 22, 2026SaveLearn
Resolving Cryogenic and Hypersonic Rarefied Flows via Deep Learning-Accelerated Lennard-Jones DSMCIntegrating the physically realistic Lennard--Jones (LJ) potential into Direct Simulation Monte Carlo (DSMC) remains challenging because the long-range potential complicates collision-rate definition…Ahmad Shoja Sani, Ehsan Roohi, Stefan Stefanov·May 22, 2026SaveLearn
Reconstruction of instantaneous flow fields from transient velocity snapshots using physics-informed neural networks: Applications to pulsatile blood flow behind a stenosisPhysics-informed neural networks (PINNs) offer a promising framework by embedding partial differential equations (PDEs) into the loss function together with measurement data, making them well-suited…Kakeru Ueda, Hiro Wakimura, Satoshi Ii·May 22, 2026SaveLearn
Natural Convection Heat Transfer from an Inclined CylinderBased on Jaffer's (2023) heat engine analysis of natural convection, this investigation mathematically derives a novel, comprehensive formula predicting the natural convective heat transfer from…Aubrey G. Jaffer, Martin S. Jaffer·May 22, 2026SaveLearn
Physics-Informed Neural Networks: Bridging the Divide Between Conservative and Non-Conservative EquationsIn the realm of computational fluid dynamics, traditional numerical methods, which heavily rely on discretization, typically necessitate the formulation of partial differential equations (PDEs) in…Arun Govind Neelan, Ferdin Sagai Don Bosco, Naveen Sagar Jarugumalli et al.·May 22, 2026SaveLearn
Improving turbulence control through explainable deep learningTurbulent-flow control aims to develop strategies that effectively manipulate fluid systems, such as the reduction of drag in transportation and enhancing energy efficiency, both critical steps…Miguel Beneitez, Andres Cremades, Luca Guastoni et al.·May 22, 2026SaveLearn
Flow birefringence measurement in a radial Hele-Shaw cell considering three-dimensional effectsFlow birefringence measurement is an emerging technique for visualizing stress fields in fluid flows. This study investigates flow birefringence in the steady radial Hele-Shaw flow. In the radial…Misa Kawaguchi, William Kai Alexander Worby, Yuto Yokoyama et al.·May 22, 2026SaveLearn