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The macroscopic flow geometry has long been assumed to have little impact on dynamic wetting behavior of liquids on solid surfaces. This study experimentally studied both spontaneous spreading and forced wetting of several kinds of Newtonian and non-Newtonian fluids to study the effect of the macroscopic flow geometry on dynamic wetting. The relationship between the dynamic contact angle, θ(D), and the velocity of the moving contact line, U, indicates that the macroscopic flow geometry does not influence the advancing dynamic wetting behavior of Newtonian fluids, but does influence the advancing dynamic wetting behavior of non-Newtonian fluids, which had not been discovered before.
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http://dx.doi.org/10.1016/j.jcis.2011.06.029 | DOI Listing |
Proc Natl Acad Sci U S A
September 2025
Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109.
In recent years the functionality of synthetic active microparticles has edged even closer to that of their biological counterparts. However, we still lack the understanding needed to recreate at the microscale key features of autonomous behavior exhibited by microorganisms or swarms of macroscopic robots. In this study, we propose a model for a three-dimensional deformable cellular composite particle consisting of self-propelled rod-shaped colloids confined within a flexible vesicle-representing a superstructure we call a "flexicle" that couples particle deformation to the internal dynamics of the internal active components.
View Article and Find Full Text PDFJ Headache Pain
August 2025
Division of Neuroscience & Centre for Nanotechnology in Medicine, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, M13 9LT, UK.
Background: Understanding the mechanisms of pathological brain network activity and the efficacy of therapies requires testing hypothesis in vivo, where brain circuitry remains preserved. Therefore, animal models are a key tool in the study of primary neurological disorders such as migraine, stroke and epilepsy. These models not only have advanced our understanding of the underlying neurobiology of these disorders but have also provided novel pharmacological targets and insights on shared pathophysiological processes such as spreading depolarizations (SD).
View Article and Find Full Text PDFSustain Energy Fuels
August 2025
Electrochemical Materials and Systems, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology P.O. Box 513 5600 MB Eindhoven The Netherlands
Understanding reactive mass transport in redox flow reactors is key to improving performance, yet conventional characterization techniques often rely on cell-averaged metrics and fail to resolve local transport phenomena. In this study, we employ neutron radiography to visualize concentration distributions in redox flow cells with non-aqueous electrolytes, leveraging the high attenuation of hydrogen-containing organic molecules and boron-containing supporting ions. Symmetric flow cell experiments were conducted with three electrode types (paper, cloth, and a hierarchical porous electrode fabricated by non-solvent induced phase separation), and two flow field designs (parallel and interdigitated).
View Article and Find Full Text PDFACS Appl Mater Interfaces
August 2025
School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Programmed assembly of natural materials on a large scale is often limited by inherent factors, including dimensional dispersity, complex hierarchical organization, and slow processing kinetics. In this study, we demonstrate a scalable strategy to preprogram the chiral assembly of cellulose nanocrystals (CNCs) by applying a rotational magnetic field during evaporation-induced self-assembly. To facilitate magnetic responsiveness, CNCs are decorated with magnetic nanoparticles and subjected to a rotational magnetic field.
View Article and Find Full Text PDFMicroorganisms
July 2025
Department of Environmental Science, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Hydraulic shear has been widely accepted as one of the essential factors modulating phytoplankton growth. Previous experimental studies of algal growth have been conducted at the macroscopic level, and direct observation at the cell scale has been lacking. In this study, an algal-cell dynamic continuous observation platform (ACDCOP) is proposed with a parallel-plate flow chamber (PPFC) to capture cellular growth images which are then used as input to a computer vision algorithm featuring a pre-trained backpropagation neural network to quantitatively evaluate the volumes and volumetric growth rates of individual cells.
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