Dynamics of rotating helices in viscous fluidWe investigate the dynamics of a pair of rigid rotating helices in a viscous fluid, as a model for bacterial flagellar bundle and a prototype of microfluidic pumps. Combining experiments with…Chijing Zang, Luke Omodt, Moumita Dasgupta et al.·Apr 12, 2025SaveLearn
Magnetorheological Characterization of Blood Analogues Seeded with Paramagnetic ParticlesMagnetic particle under external fields can be useful in various medical applications, gaining access to the whole body if deployed in the bloodstream. Localised drug delivery, haemorrhage control,…R. Rodrigues, F. J. Galindo-Rosales, L. Campo-Deaño·Apr 12, 2025SaveLearn
ELPINN: Eulerian Lagrangian Physics-Informed Neural NetworkPhysics-Informed Neural Networks (PINNs) have gained widespread popularity for solving inverse and forward problems across a range of scientific and engineering domains. However, most existing PINN…Sukirt Thakur, Maziar Raissi·Apr 12, 2025SaveLearn
Fokker-Planck Model Based Central Moment Lattice Boltzmann Method for Effective Simulations of Thermal Convective FlowsThe Fokker-Planck (FP) equation represents the drift-diffusive processes in kinetic models. It can also be regarded as a model for the collision integral of the Boltzmann-type equation to represent…William Schupbach, Kannan Premnath·Apr 12, 2025SaveLearn
A Robust Lattice Boltzmann Method for Interface-Bound Transport of a Passive Scalar: Application to Surfactant-Laden Multiphase FlowsThe transport of a passive scalar restricted on interfaces, which is advected by the fluid motions have numerous applications in multiphase transport phenomena. A prototypical example is the…William Schupbach, Kannan Premnath·Apr 12, 2025SaveLearn
Timescales and Statistics of Shock-induced Droplet BreakupDetonation-based propulsion devices, such as rotating detonation engines (RDEs), must be able to leverage the higher energy densities of liquid fuels in order for them to be utilized in practical…Michael Ullman, Ral Bielawski, Venkat Raman·Apr 11, 2025SaveLearn
Real-scale Smoothed Particle Hydrodynamics Tsunami Runup Modelling, with application to 3-D tsunami urban flows in Cilacap, South Java, IndonesiaThe risk posed by tsunami waves is currently modelled over bare-earth representations by tsunami models. The complex flows around buildings and structures are crucial to represent the true state of…Jack Dignan, Joseph O'Connor, Serge Guillas·Apr 11, 2025SaveLearn
Bridging advection and diffusion in the encounter dynamics of sedimenting marine snowSinking marine snow particles, composed primarily of organic matter, control the global export of photosynthetically fixed carbon from the ocean surface to depth. The fate of sedimenting marine snow…Jan Turczynowicz, Radost Waszkiewicz, Jonasz Słomka et al.·Apr 11, 2025SaveLearn
Yield Stages of Viscoplastic Fluids in Tubes of Elliptical, Rectangular, Triangular and Annular Cross SectionsIn this paper we continue our previous investigation about the use of stress function in the flow of generalized Newtonian fluids through conduits of circular and non-circular (or/and multiply…Taha Sochi·Apr 11, 2025SaveLearn
Virgin and Under-Investigated Areas of Research in Non-Newtonian Fluid MechanicsThis paper is mainly about the areas of non-Newtonian fluid mechanics which are not investigated or not appropriately and sufficiently investigated. In fact, this should also include emerging areas…Taha Sochi·Apr 11, 2025SaveLearn
Autophoretic skating along permeable surfacesThe dynamics of self-propelled colloidal particles are strongly influenced by their environment through hydrodynamic and, in many cases, chemical interactions. We develop a theoretical framework to…Günther Turk, Rajesh Singh, Howard A. Stone·Apr 11, 2025SaveLearn
Rational constitutive law for the viscous stress tensor in incompressible two-phase flows: Derivation and tests against a 3D benchmark experimentWe analyze the representation of viscous stresses in the one-fluid formulation of the two-phase Navier-Stokes equations, the model on which all computational approaches making use of a fixed mesh to…Jacques Magnaudet, Hadrien Bruhier, Samuel Mer et al.·Apr 11, 2025SaveLearn
Stochastic resonance of rotating particles in turbulenceThe chaotic dynamics of small-scale vorticity plays a key role in understanding and controlling turbulence, with direct implications for energy transfer, mixing, and coherent structure evolution.…Ziqi Wang, Xander M. de Wit, Roberto Benzi et al.·Apr 11, 2025SaveLearn
Onset of thermo-convective instabilities in two-layer binary fluid systemsThe current work analyses the onset characteristics of buoyancy and thermocapillary-driven instabilities in two-layer binary fluid systems near their upper critical solution temperature (UCST). The…Saumyakanta Mishra, S. V. Diwakar·Apr 11, 2025SaveLearn
Adjoint-based optimization of the control boundaries of a microfluidic acoustic flowIn this study, we find the optimal control boundary (i.e., actuator velocity) that cancels the acoustic reverberations inside drop-on-demand inkjet printheads at a specific time. We formulate an…Javier Lorente-Macias, Matthew P. Juniper·Apr 11, 2025SaveLearn
Scaling and Predictability in Surface Quasi-Geostrophic TurbulenceTurbulent flows are strongly chaotic and unpredictable, with a Lyapunov exponent that increases with the Reynolds number. Here, we study the chaoticity of the Surface Quasi-geostrophic system, a…V. J. Valadão, F. De Lillo, S. Musacchio et al.·Apr 10, 2025SaveLearn
Parasitic hydrogen bubble evolution in vanadium redox flow batteries: A lattice Boltzmann studyVanadium redox flow batteries (VRFBs) are a promising technology to capture and store energy from renewable sources, reducing the reliance on fossil fuels for energy generation. However, during the…K. Duan, T. H. Vu, T. Kadyk et al.·Apr 10, 2025SaveLearn
Harnessing Equivariance: Modeling Turbulence with Graph Neural NetworksThis work proposes a novel methodology for turbulence modeling in Large Eddy Simulation (LES) based on Graph Neural Networks (GNNs), which embeds the discrete rotational, reflectional and…Marius Kurz, Andrea Beck, Benjamin Sanderse·Apr 10, 2025SaveLearn
A Novel Deep Learning Approach for Emulating Computationally Expensive Postfire Debris FlowsTraditional physics-based models of geophysical flows, such as debris flows and landslides that pose significant risks to human lives and infrastructure are computationally expensive, limiting their…Palak Patel, Luke McGuire, Abani Patra·Apr 10, 2025SaveLearn
Euler-Lagrange study of Microbubble-Laden Turbulent Flow over Superhydrophobic surfacesFor slow-speed ships, underwater vehicles, and pipe transportation systems, viscous resistance accounts for a large proportion of the total energy losses. As such, various technologies have been…Byeong-Cheon Kim, Kyoungsik Chang, Sang-Wook Lee et al.·Apr 10, 2025SaveLearn
Differential Equation Based Wall Distance Approaches for Maritime Engineering FlowsThe paper is concerned with modeling and simulating approaches of wall distance functions based on Partial Differential Equations (PDE). The distance to the nearest wall is required for many…Niklas Kühl·Apr 9, 2025SaveLearn
Bistability and charge-density blowup in the onset of drop Quincke rotationParticles in a sufficiently strong electric field spontaneously rotate, provided that charge relaxation is slower in the particle than in the suspending fluid. It has long been known that drops also…Gunnar G. Peng, Ory Schnitzer·Apr 9, 2025SaveLearn
Forcing mass transfer approach in multicomponent miscible mixtures using the lattice Boltzmann methodWhile the lattice Boltzmann method (LBM) has proven robust in areas like general fluid dynamics, heat transfer, and multiphase modeling, its application to mass transfer has been limited. Current…R. G. C. Lourenço, P. H. Constantino, F. W. Tavares·Apr 9, 2025SaveLearn
On sloshing in containers with porous bafflesSloshing eigenvalues are studied for containers with porous baffles extending throughout the constant (possibly infinite) depth. The fluid transmission across the baffles is described by Darcy's law,…Nikolay Kuznetsov, Oleg Motygin·Apr 9, 2025SaveLearn
Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive modelsAccurate modeling of the complex dynamics of fluid flows is a fundamental challenge in computational physics and engineering. This study presents an innovative integration of High-Order Singular…Arindam Sengupta, Rodrigo Abadía-Heredia, Ashton Hetherington et al.·Apr 9, 2025SaveLearn