Results 21 to 30 of about 692,439 (328)

Fluid dynamics and epidemiology: Seasonality and transmission dynamics

open access: yesThe Physics of Fluids, 2021
Epidemic models do not account for the effects of climate conditions on the transmission dynamics of viruses. This study presents the vital relationship between weather seasonality, airborne virus transmission, and pandemic outbreaks over a whole year ...
T. Dbouk, D. Drikakis
semanticscholar   +1 more source

Editorial: Mathematical problems in physical fluid dynamics: part I

open access: yesPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022
Fluid dynamics is a research area lying at the crossroads of physics and applied mathematics with an ever-expanding range of applications in natural sciences and engineering. However, despite decades of concerted research efforts, this area abounds with many fundamental questions that still remain unanswered.
D. Goluskin, B. Protas, J.-L. Thiffeault
openaire   +3 more sources

Fluid dynamics beyond the continuum: A physical perspective on large-eddy simulation [PDF]

open access: yesPhysical Review Fluids, 2021
In this work, we will present a physically consistent theory to derive the governing equations of the Large Eddy Simulation (LES) framework based on first principles rather than the motivation to conduct computationally affordable simulations of turbulent flows.
Max Okraschevski   +4 more
openaire   +5 more sources

Simulation of granular soil behaviour using the bullet physics library [PDF]

open access: yes, 2015
A physics engine is computer software which provides a simulation of certain physical systems, such as rigid body dynamics, soft body dynamics and fluid dynamics.
Akinci N.   +5 more
core   +2 more sources

Where surface physics and fluid dynamics meet: Rupture of an amphiphile layer by fluid flow [PDF]

open access: yesThe Journal of Chemical Physics, 2006
We investigate the fluctuating pattern created by a jet of fluid impingent upon an amphiphile-covered surface. This microscopically thin layer is initially covered with 50μm floating particles so that the layer can be visualized. A vertical jet of water located below the surface and directed upward drives a hole in this layer. The hole is particle-free
Bandi, M. M.   +3 more
openaire   +5 more sources

Bianchi Type I Universes with Causal Bulk Viscous Cosmological Fluid [PDF]

open access: yes, 2001
We consider the dynamics of a causal bulk viscous cosmological fluid filled constantly decelerating Bianchi type I space-time. The matter component of the Universe is assumed to satisfy a linear barotropic equation of state and the state equation of the ...
Belinskii V. A.   +13 more
core   +3 more sources

Enhancement of cerebrovascular 4D flow MRI velocity fields using machine learning and computational fluid dynamics simulation data

open access: yesScientific Reports, 2021
Blood flow metrics obtained with four-dimensional (4D) flow phase contrast (PC) magnetic resonance imaging (MRI) can be of great value in clinical and experimental cerebrovascular analysis.
David R. Rutkowski   +2 more
semanticscholar   +1 more source

A Physically-Motivated Deformable Model Based on Fluid Dynamics [PDF]

open access: yes, 2006
A novel deformable model for image segmentation and shape recovery is presented. The model is inspired by fluid dynamics and is based on a flooding simulation similar to the watershed paradigm. Unlike most watershed methods, our model has a continuous formulation, being described by two partial differential equations.
Andrei C. Jalba, Jos B. T. M. Roerdink
openaire   +4 more sources

Dynamics of Relativistic Magnetized Blast Waves [PDF]

open access: yes, 2001
The dynamics of a relativistic blast wave propagating through magnetized medium is considered taking into account possible inhomogeneities of density and magnetic field and additional energy supply.
Lyutikov, Maxim
core   +2 more sources

Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration [PDF]

open access: yesSciPy, 2022
Though PINNs (physics-informed neural networks) are now deemed as a complement to traditional CFD (computational fluid dynamics) solvers rather than a replacement, their ability to solve the Navier-Stokes equations without given data is still of great ...
Pi-Yueh Chuang, L. Barba
semanticscholar   +1 more source

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