نتایج جستجو برای: binary particles

تعداد نتایج: 272455  

Journal: :Physical review. E, Statistical, nonlinear, and soft matter physics 2006
Takeaki Araki Hajime Tanaka

Inclusion of solid particles drastically affects the pattern evolution of phase separation of a binary fluid mixture, via preferential wetting of one of the phases to the particles. Here we study this problem by numerical simulation, which incorporates interparticle hydrodynamic interactions properly. When particles favor one of the components of a mixture, wetting layers are quickly formed on ...

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Binary oppositions are among the essential concepts and components of structuralism and linguistic and semiotic theories that are rooted in human ancient beliefs. One of the fundamental functions of the human mind is the creation of binary oppositions, which are seen in art and literature. The study of binary oppositions in literary works leads to a better understanding of them. This article is...

Journal: :Nanoscale 2015
Saurabh Bajaj Michael G Haverty Raymundo Arróyave William A Goddard Sadasivan Shankar

Phase diagrams of multi-component systems are critical for the development and engineering of material alloys for all technological applications. At nano dimensions, surfaces (and interfaces) play a significant role in changing equilibrium thermodynamics and phase stability. In this work, it is shown that these surfaces at small dimensions affect the relative equilibrium thermodynamics of the d...

2001
R Roth

We propose that the behaviour of asymmetric binary fluid mixtures with a large class of attractive or repulsive interparticle interactions can be understood by mapping onto effective non-additive hard-sphere models. The latter are best analysed in terms of their underlying depletion potentials which can be exactly scaled onto known additive ones. By tuning the non-additivity, a wide variety of ...

Journal: :Expert Syst. Appl. 2011
Li-Yeh Chuang Sheng-Wei Tsai Cheng-Hong Yang

The feature selection process constitutes a commonly encountered problem of global combinatorial optimization. This process reduces the number of features by removing irrelevant, noisy, and redundant data, thus resulting in acceptable classification accuracy. Feature selection is a preprocessing technique with great importance in the fields of data analysis and information retrieval processing,...

Journal: :Journal of colloid and interface science 2005
Joseph M Brader Matthias Schmidt

We investigate bulk and interfacial properties of a recently proposed hard-body model for a ternary mixture of amphiphilic particles, spheres and needles using density functional theory. The simple model amphiphiles are formed by bonding a vanishingly thin needle tail radially to a hard-sphere head group. Such particles provide a natural amphiphile when added to a binary mixture of spheres and ...

2009
P. Kurr I. Kasatkin F. Girgsdies A. Trunschke R. Schlögl T. Ressler

Microstructural characteristics of various real Cu/ZnO/Al2O3 catalysts for methanol steam reforming (MSR) were investigated by in situ X-ray diffraction (XRD), in situ X-ray absorption spectroscopy (XAS), temperature programmed reduction (TPR) and electron microscopy (TEM). Structure–activity correlations of binary Cu/ZnO model catalysts were compared to microstructural properties of the ternar...

Journal: :International journal of pharmaceutics 2000
B van Veen K van der Voort Maarschalk G K Bolhuis K Zuurman H W Frijlink

The tensile strength of tablets compressed from binary mixtures is in general not linearly related to the strength of tablets prepared from single materials; in many cases it shows a decreased tensile strength relative to interpolation. The materials used in this study, sodium chloride and pregelatinised starch, are both plastically deforming materials, but have a different densification and re...

2011
Li-Yeh Chuang Sheng-Wei Tsai Cheng-Hong Yang

The feature selection process constitutes a commonly encountered problem of global combinatorial optimization. This process reduces the number of features by removing irrelevant, noisy, and redundant data, thus resulting in acceptable classification accuracy. Feature selection is a preprocessing technique with great importance in the fields of data analysis and information retrieval processing,...

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