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Simple planar models

ON THE PERFORMANCE OF SIMPLE PLANAR MODELS OF WATER IN THE VAPOR AND THE ICE PHASES... [Pg.109]

The chapter is organized as follows. Section 8.2 provides a short reminder of what acoustic shear waves can and cannot do. Shear waves have distinct advantages (compared to other surface anal3Ttical techniques like optical reflectometry or atomic force microscopy [AFM]), but there are also some caveats to be kept in mind. Section 8.3 briefly summarizes some predictions from simple planar models of slip. An experimental result, which stands as an example for an experience in the authors laboratory, is presented in section 8.4. Section 8.5 provides the results from FEM calculations. Section 8.6 discusses nonlinear phenomena and acoustic streaming, in particular. [Pg.284]

In this first chapter we discuss the basic mathematical tasks and the typical form of equations of motion of multibody systems. We present a simple planar model of a truck used throughout this book for demonstration purposes. The chapter is... [Pg.12]

When the two liquid phases are in relative motion, the mass transfer coefficients in eidrer phase must be related to die dynamical properties of the liquids. The boundary layer thicknesses are related to the Reynolds number, and the diffusive Uansfer to the Schmidt number. Another complication is that such a boundaty cannot in many circumstances be regarded as a simple planar interface, but eddies of material are U ansported to the interface from the bulk of each liquid which change the concenuation profile normal to the interface. In the simple isothermal model there is no need to take account of this fact, but in most indusuial chcumstances the two liquids are not in an isothermal system, but in one in which there is a temperature gradient. The simple stationary mass U ansfer model must therefore be replaced by an eddy mass U ansfer which takes account of this surface replenishment. [Pg.326]

When the temperature of the analyzed sample is increased continuously and in a known way, the experimental data on desorption can serve to estimate the apparent values of parameters characteristic for the desorption process. To this end, the most simple Arrhenius model for activated processes is usually used, with obvious modifications due to the planar nature of the desorption process. Sometimes, more refined models accounting for the surface mobility of adsorbed species or other specific points are applied. The Arrhenius model is to a large extent merely formal and involves three effective (apparent) parameters the activation energy of desorption, the preexponential factor, and the order of the rate-determining step in desorption. As will be dealt with in Section II. B, the experimental arrangement is usually such that the primary records reproduce essentially either the desorbed amount or the actual rate of desorption. After due correction, the output readings are converted into a desorption curve which may represent either the dependence of the desorbed amount on the temperature or, preferably, the dependence of the desorption rate on the temperature. In principle, there are two approaches to the treatment of the desorption curves. [Pg.346]

Using assumed molecular models and force constants based on the force constants derived from the paraffin series, normal co-ordinate calculations for the simple alkylcarbonium ions were carried out. These calculations were made in order to predict the vibrational spectra. Comparison with the experimentally obtained infra-red spectra show that the main observed features can indeed be reasonably explained in terms of the modes calculated for the planar models of the ions and allowed an assignment of the fundamentals (Table 11). [Pg.321]

A simple scaling model of block copolymer micelles was derived by de Gennes (1978). He obtained scaling relations assuming uniformly stretched chains for the core radius, RB, of micelles with association number p.This model can be viewed as a development of the Alexander de Gennes theory (Alexander 1977 de Gennes 1976,1980) for polymer brushes at a planar interface, where the density profile normal to the interface is a step function. In the limit of short coronal (A) chains (crew-cut micelles) de Gennes (1978) predicted... [Pg.159]

P. Piecuch and J. Paldus, Phys. Rev. A, 49, 3479 (1994). Application of Hilbert-Space Coupled-Cluster Theory to Simple (H2 )2 Model Systems. II. Non-Planar Models. [Pg.291]

An active-site model has been proposed to explain the high asymmetric oxidation of sulfide to sulfoxides75 (Fig. 6). The model consists of three pockets, A, B, and C, where pocket B, defined by the two chlorine atoms and the phenylsulfonyl group, is responsible for the high enantioselectivity exhibited for the oxidation of sulfides Rl-S-Rs. The absolute stereochemistry of the final sulfoxides is predicted in terms of a simple steric model, which involves minimization of nonbonded interaction between the RL and Rs groups of the sulfides (RL-S-Rs) and the active site surface of the oxaziridine in an orientative planar transition state. [Pg.76]

Prior to this theoretical study, simple CPK modeling studies carried out by Badger, et al. on several of these macrocycles indicated that systems derived from two or more thiophene units would likely be non-planar, and thus most likely non-aromatic." If, however, one or fewer thiophene units were present, it was predicted that a planar, aromatic macrocycle would result. It was Badger s intent, therefore, to see whether one could in fact dial-in planarity and hence aromaticity as a result of effecting known changes in the within-ring steric factors. [Pg.108]

The simple HMO model has proved useful in many cases—and is in fact still used—for a first rationalization of the pE spectra of planar—almost planar—polyenes. [Pg.213]

This leads us to the concept called nanocatalysis, and specifically to nanofabricated model catalysts, as an approach to bridge the structure gap. In Fig. 4.4, some examples of planar model structures of increasing complexity are depicted, which fulfill these criteria. At the top, there is a simple array of catalyst particles on an inactive support. The inactive support can be replaced by an active support (second picture from the top), meaning a support that significantly affects the properties of the nanoparticles via particle-support interactions (a clear distinction between inactive and active is not easy or not even possible—there is always some influence of the support on the supported particle). In some cases, the size of the support particle has an influence on the overall catalytic activity. This is, for example, the case when there is a spillover or capture zone for reactants or intermediates, which move by diffusion from the catalyst nanoparticle to the support or vice versa. In order to study such effects, one may want to systematically vary the radius of the... [Pg.273]

In this section, we present experimental results for each of the planar model catalysts presented above. We have chosen to use CO oxidation at atmospheric pressure as the main model reaction. There have been several studies using simple reactions, like CO oxidation [29] or ethylene hydrogenation [68], and no... [Pg.314]

In the cuboctahedron case, we were able to introduce the large number of the sites to represent each edge between the vertices of the polyhedron using the simple arithmetic mean to generate coordinates of new sites. In contrast, here such an approach is not possible since we want the new points to be everywhere inside the molecule, not only along the bonds. To arrive at approximately uniformly distributed points in the interior of the van der Waals contour of the molecule we select the coordinates of the points at random and then check that indeed the point is inside the molecular interior. In Figure 22 we illustrate distributions of 1000 and 5000 random points that represent a planar model of the H2O molecule (i.e., the projection of H2O on a plane). [Pg.202]


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Planar models

Simple Planar Models of Slip

Simple model

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