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Crystal models

Supported metal particles were compared to the idealized crystal shapes available in various crystalline arrangements. Some of the shapes derived from fee crystals (the crystalline orientation of most catalytically active metals) are depicted in Fig. 3.3. The various types of surface atoms were differentiated by the number of [Pg.32]

Relationship between the different types of surface atoms and the catalyst dispersion as calculated for cubooctahedral crystals. (Drawn using data from Ref 46). [Pg.33]

The basic concept was to run a given reaction over a series of supported metal catalysts that were identical except for the size of the metal particles and then to relate changes in activity and/or selectivity with one of the trends shown in Fig. 3.4. The use of such information to evaluate specific reactions, however, relies on the basic assumption that the metal crysteillites present in supported metal catalysts are well defined crystalline shapes and that all of the particles in the catalyst series have, at least, similar shapes. This is, at best, a rather tenuous assumption. [Pg.33]

While this work did show that a number of different types of single atom sites can be present on the surface of dispersed metal catalysts, the possibility was [Pg.33]


A) CRYSTAL MODELS WITH THERMAL VIBRATION INCLUSION... [Pg.1811]

Polarons of Molecular Crystal Model by Nonlocal Dynamical Coherent Potential Method... [Pg.442]

In order to demonstrate the NDCPA a model of a system of excitons strongly coupled to phonons in a crystal with one molecule per unit cell is chosen. This model is called here the molecular crystal model. The Hamiltonian of... [Pg.444]

Polarons of Molecular Crystal Model 451 for complex z with a nonvanishing imaginary part Eq.(25) is written as... [Pg.451]

Optical parametric oscillators (OPOs) represent another tunable soHd-state source, based on nonlinear optical effects. These have been under development for many years and as of this writing (ca 1994) are beginning to become commercially available. These lasers may be tuned by temperature or by rotating a crystal. Models available cover a broad wavelength range in the visible and infrared portions of the spectmm. One commercial device may be tuned from 410 to 2000 nm. [Pg.12]

The crystallizer model that led to the development of equations 44 and 45 is referred to as the mixed-suspension, mixed-product removal (MSMPR) crystallizer. [Pg.349]

Figure 3 Comparison of the densities (in g/cm ) of model compounds for membrane lipids computed from constant-pressure MD simulations with the coiTespondmg experimental values. The model compounds include solid octane and tricosane, liquid butane, octane, tetradecane, and eico-sane, and the glycerylphosphorylcholme, cyclopentylphosphorylcholme monohydrate, dilauroly-glycerol, anhydrous cholesterol, cholesterol monohydrate, and cholesterol acetate crystals. (Models from Refs. 18, 42, and 43). Figure 3 Comparison of the densities (in g/cm ) of model compounds for membrane lipids computed from constant-pressure MD simulations with the coiTespondmg experimental values. The model compounds include solid octane and tricosane, liquid butane, octane, tetradecane, and eico-sane, and the glycerylphosphorylcholme, cyclopentylphosphorylcholme monohydrate, dilauroly-glycerol, anhydrous cholesterol, cholesterol monohydrate, and cholesterol acetate crystals. (Models from Refs. 18, 42, and 43).
Rielly and Marquis (2001) present a review of crystallizer fluid mechanics and draw attention to the inconsistency between the dependence of crystallization kinetic rates on local mean and turbulent velocity fields and the averaging assumptions of conventional well-mixed crystallizer models. [Pg.45]

Film-crystal model concentration profiles of A, B and C and particle number density distributions are shown in Figure 8.14(a). [Pg.238]

In simple single-site liquid crystal models, such as hard-ellipsoids or the Gay-Berne potential, a number of elegant techniques have been devised to calculate key bulk properties which are useful for display applications. These include elastic constants for nematic systems [87, 88]. However, these techniques are dependent on large systems and long runs, and (at the present time) limitations in computer time prevent the extension of these methods to fully atomistic models. [Pg.59]

The polymer crystallization depends sensitively on the temperature Tc at which it occurs, more precisely on the degree of undercooling A T=Tm-Tc below the melting temperature Tm. Since we have to estimate Tm, at least roughly, of our lamellar crystal model, we first study the melting process of a lamella during the temperature increase at a constant rate. [Pg.44]

The elastic free energy AFe causes difficulty because of its sensitivity to the crystallization model assumed. To estimate AFe for lamellar morphology, consider first an important property of a network, amorphous or crystalline. Network crosslinks are considerably restricted in their fluctuations. Fluctuations of crosslinks several chains removed from a particular chain are therefore inconsequential for that chain. A chain in the interior of a path traced through several sequentially connected chains behaves as if the path ends are securely anchored at fixed positions ( 7). If Gj chain vectors make up the path, then... [Pg.297]

The various types of point defect found in pure or almost pure stoichiometric solids are summarized in Figure 1.17. It is not easy to imagine the three-dimensional consequences of the presence of any of these defects from two-dimensional diagrams, but it is important to remember that the real structure of the crystal surrounding a defect can be important. If it is at all possible, try to consult or build crystal models. This will reveal that it is easier to create vacancies at some atom sites than others, and that it is easier to introduce interstitials into the more open parts of the structure. [Pg.39]

In order to obtain data with reduced temperature smearing, experiments were also carried out at 77 K. However, such experiments could not be carried out in. situ and the catalysts were thus exposed to air before the measurements. EXAFS data of three catalysts with Co/Mo atomic ratios of 0.0., 0.25, and 0.50 were obtained. The results show many similarities with the data recorded in situ and were fitted in a similar fashion using phase and amplitude functions of the well-crystallized model compound M0S2 recorded at 77 K. The results, which are given in Table III, show that the bond lengths for the first and second coordination shell are the same for all the catalysts and identical to the values obtained for the catalyst recorded in situ (Table II). The coordination numbers for both shells appear, however, to be somewhat smaller. Although coordination numbers determined by EXAFS cannot be expected to be determined with an accuracy better than + 20, the observed reduction... [Pg.82]

Spectra, Mixed-Crystal, Model Calculations in the Theory of (Craig). ... [Pg.405]

Figure 9.4 Fractional crystallization model. The magma is well-stirred and in equilibrium with the last solid crystallized. Figure 9.4 Fractional crystallization model. The magma is well-stirred and in equilibrium with the last solid crystallized.
Figure 9.5 Evolution of the concentration with the fraction crystallized (from right to left) for the fractional crystallization model [Rayleigh equation (9.3.3), heavy line] and two models of magma chamber with periodic recharge, periodic eruption and continuous fractionation [equations (9.4.7) and (9.4.8)]. Figure 9.5 Evolution of the concentration with the fraction crystallized (from right to left) for the fractional crystallization model [Rayleigh equation (9.3.3), heavy line] and two models of magma chamber with periodic recharge, periodic eruption and continuous fractionation [equations (9.4.7) and (9.4.8)].
For crystals with molecule-like constituents, like the BO, " and BO4 " groups in some borates, semi-quantitative models of the molecular component as a gas-phase entity have been proposed (Oi et al. 1989). This is conceptually similar to the approximation made for species in solution, although in practice most studies of crystals consider additional frequencies that reflect inter-molecular vibrations. The spectroscopic data on these vibrations (which typically have lower frequencies than the intra-molecular vibrations) are often available, at least approximately, from infrared and Raman spectroscopy and elastic properties. This type of hybrid molecule-in-crystal model has been applied to many minerals in theoretical studies of carbon and oxygen isotope fractionation, the most noteworthy being studies of calcite (Bottinga 1968 Chacko et al. 1991) and sihcates (Kieffer 1982). Because specfroscopic dafa are always incomplete (especially for subsfances substifufed wifh rare isolopes), some amounl of vibralional modeling is necessary. [Pg.76]

A 1969 paper presented a mathematical crystallization model for the continuous crystallization of zeolite A [174]. The successful implementation of continuous synthesis of zeoHtes must accommodate the relatively slow crystallization rates with the reactor design to allow sufficient residence time at the necessary digestion temperature. A recent patent publication describes continuous zeolite synthesis using microwave heating, which couples the often significant advantages of faster zeolite crystallization under microwave radiation with a continuous synthesis, dewatering and work-up process [175],... [Pg.77]

Refine augmented CRYSTAL MODEL until complete. ... [Pg.319]

Other mechanistic ideas The most obvious problem with the colloidal crystal model is that it is hard to reconcile with the tracer diffusion experiments on poly (lysine) (15.) that do not detect any long-lived, slowly diffusing aggregates. While this type of experiment has not yet been done with DNA, it is reasonable to expect that the same result would be found. [Pg.209]


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See also in sourсe #XX -- [ Pg.596 ]

See also in sourсe #XX -- [ Pg.596 ]




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Modeling crystallization

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