Results 51 to 60 of about 6,139,729 (399)

Dynamics of fluid mixtures in nanospaces [PDF]

open access: yesThe Journal of Chemical Physics, 2011
A multicomponent extension of our recent theory of simple fluids [U. M. B. Marconi and S. Melchionna, J. Chem. Phys. 131, 014105 (2009)] is proposed to describe miscible and immiscible liquid mixtures under inhomogeneous, nonsteady conditions typical of confined fluid flows.
Marconi Umberto Marini Bettolo   +2 more
openaire   +6 more sources

An object-oriented approach to hybrid structured/unstructured grid generation [PDF]

open access: yes, 1996
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/77270/1/AIAA-1996-32-959 ...
Banks, D.   +3 more
core   +1 more source

Influence of drag closures and inlet conditions on bubble dynamics and flow behavior inside a bubble column

open access: yesEngineering Applications of Computational Fluid Mechanics, 2017
In this paper, the hydrodynamics of a bubble column is investigated numerically using the discrete bubble model, which tracks the dispersed bubbles individually in a liquid column.
Amjad Asad   +2 more
doaj   +1 more source

Flow-dependent fluorescence of CCVJ

open access: yesJournal of Biological Engineering, 2017
Background The molecular rotor 9-(2-Carboxy-2-cyanovinyl)julolidine (CCVJ) is presumed to have a sensitivity towards velocity or shear which is supposed to result in a change in fluorescence quantum yield. Furthermore, a previously reported photoisomeric
Markus J. Schmidt   +2 more
doaj   +1 more source

Lagrangian dynamics of incompressible thermofluids [PDF]

open access: yes, 2008
A key aspect of fluid dynamics is the correct definition of the \textit{% phase-space} Lagrangian dynamics which characterizes arbitrary fluid elements of an incompressible fluid. Apart being an unsolved theoretical problem of fundamental importance, the issue is relevant to exhibit the connection between fluid dynamics and the classical dynamical ...
arxiv   +1 more source

Making tau amyloid models in vitro: a crucial and underestimated challenge

open access: yesFEBS Letters, EarlyView.
This review highlights the challenges of producing in vitro amyloid assemblies of the tau protein. We review how accurately the existing protocols mimic tau deposits found in the brain of patients affected with tauopathies. We discuss the important properties that should be considered when forming amyloids and the benchmarks that should be used to ...
Julien Broc, Clara Piersson, Yann Fichou
wiley   +1 more source

Causes and multiyear predictability of the rapid acceleration of U.S. Southeast Sea level rise after 2010

open access: yesnpj Climate and Atmospheric Science
The rate of sea level rise (SLR) along the Southeast Coast of the U.S. increased significantly after 2010. While anthropogenic radiative forcing causes an acceleration of global mean SLR, regional changes in the rate of SLR are strongly influenced by ...
Liping Zhang   +5 more
doaj   +1 more source

GFDL's SPEAR Seasonal Prediction System: Initialization and Ocean Tendency Adjustment (OTA) for Coupled Model Predictions

open access: yesJournal of Advances in Modeling Earth Systems, 2020
The next‐generation seasonal prediction system is built as part of the Seamless System for Prediction and EArth System Research (SPEAR) at the Geophysical Fluid Dynamics Laboratory (GFDL) of the National Oceanic and Atmospheric Administration (NOAA ...
Feiyu Lu   +11 more
doaj   +1 more source

Relaxation dynamics of fluid membranes [PDF]

open access: yesPhysical Review E, 2009
We study the effect of membrane viscosity in the dynamics of liquid membranes-possibly with free or internal boundaries-driven by conservative forces (curvature elasticity and line tension) and dragged by the bulk dissipation of the ambient fluid and the friction occurring when the amphiphilic molecules move relative to each other.
Arroyo, M, DeSimone, A
openaire   +7 more sources

Nonlinear mode decomposition with convolutional neural networks for fluid dynamics [PDF]

open access: yesJournal of Fluid Mechanics, 2019
We present a new nonlinear mode decomposition method to visualize decomposed flow fields, named the mode decomposing convolutional neural network autoencoder (MD-CNN-AE). The proposed method is applied to a flow around a circular cylinder at the Reynolds
Takaaki Murata, Kai Fukami, K. Fukagata
semanticscholar   +1 more source

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