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Defect structures classification

Classification of some important defect structures and diffraction contrast in catalysis... [Pg.49]

The question arises, why do bi- or multi-phasic catalysts generally show better activity and selectivity than the active phase alone The aim of this paper is to answer this question by exploring the role of interfacial effects. We shall examine first how the thermodynamic and structural properties of one phase influence its interactions, not only with the gaseous reactants, but also with coexisting solid phases as a result of its bulk, surface, and defect structure. We will also examine the conditions necessary for these interactions and set up a structural classification of the main components of mild oxidation catalysts. This will lead finally to a discussion of the role of interfacial effects in catalyst performance using some illustrative examples. Thermodynamic and Structural Properties of Single Phase Catalysts... [Pg.38]

Defect structures are of many different types and do not readily lend themselves to classification. We may, however, recognize two broadly distinct classes, namely ... [Pg.197]

To identify the different defect structures, the following classification is currently used ... [Pg.114]

Crystalline solids are built up of regular arrangements of atoms in three dimensions these arrangements can be represented by a repeat unit or motif called a unit cell. A unit cell is defined as the smallest repeating unit that shows the fuU symmetry of the crystal structure. A perfect crystal may be defined as one in which all the atoms are at rest on their correct lattice positions in the crystal structure. Such a perfect crystal can be obtained, hypothetically, only at absolute zero. At all real temperatures, crystalline solids generally depart from perfect order and contain several types of defects, which are responsible for many important solid-state phenomena, such as diffusion, electrical conduction, electrochemical reactions, and so on. Various schemes have been proposed for the classification of defects. Here the size and shape of the defect are used as a basis for classification. [Pg.419]

As a result, though comparisons between various semiconductors for a given photocatalytic reaction are useful, the classifications thus derived must not be regarded as definitive, since the effects of the texture, of the impurities and of other structural defects, are even more crucial than in thermal catalysis. [Pg.24]

Most structural materials are susceptible to a wide range of defects. Any flaw alters the behavior of a structure, even if only minutely. The larger the flaw the more it reduces the useful properties of the material. One of the challenges in modem materials engineering is defect reduction. Defect reduction involves defect detection, defect source determination and mechanisms and defect elimination. There is no single method of detect review that can fully characterize every defect each defect classification method has its own strengths. [Pg.115]

Knowledge of the concentration of defects and molar disturbance enthalpies would permit calculation of the actual free energy of the solid, and also the chemical potential. These can be measured by using either solution calorimetry or differential scanning calorimetry. An example of the excess energy was given as 20-30 kj mol-i in mechanically activated quartz. Different types of reactions demand different defect types. For example, Boldyrev et al. [25] state a classification and provide examples for solid reactions with different mechanisms and necessary solid alterations. Often, reaction rates in solids depend strongly on the mass transport of matter. Lidi-ard [26] and Schmalzried [27] each provide reviews on transport properties in mechanically treated solids. The increased amount of defects allows a faster transport of ions and atoms in the solid structure. [Pg.414]

Since the GIFT vectorizing algorithm is based on very general principles, vectors identified as character vectors (see classification of components, below) are analyzed, and errors detected in these vectors are corrected to obtain a proper representation of bond structure. This cleanup stage corrects two types of defects ... [Pg.60]

MgO is a particularly well studied oxide the structure of the (100) single crystal surface is extremely flat, clean, and stoichiometric. Recent grazing incident X-ray scattering experiments have shown that both relaxation, -0.56 0.4%, and rumpling, 1.07 0.5%, are extremely small [66]. However, no real crystal surface consists of only idealized terraces. A great effort has been undertaken in recent years to better characterize the MgO surface, in particular for polycrystalline or thin-film forms which in some cases exhibit an heterogeneous surface, due to the presence of various sites. All these sites can be considered as defects. The identification and classification of the defects is of fundamental importance. In fact, the presence of appreciable concentrations of defects can change completely the chemical behavior of the surface. A typical example is that of the reaction of CO on MgO (see 3.1). [Pg.101]

Transition metal catalysts, specifically those composed of iron nanoparticles, are widely employed in industrial chemical production and pollution abatement applications [67], Iron also plays a cracial role in many important biological processes. Iron oxides are economical alternatives to more costly catalysts and show activity for the oxidation of methane [68], conversion of carbon monoxide to carbon dioxide [58], and the transformation of various hydrocarbons [69,70]. In addition, iron oxides have good catalytic lifetimes and are resistant to high concentrations of moisture and CO which often poison other catalysts [71]. Li et al. have observed that nanosized iron oxides are highly active for CO oxidation at low tanperatures [58]. Iron is unique and more active than other catalyst and support materials because it is easily reduced and provides a large number of potential active sites because of its highly disordered and defect rich structure [72, 73]. Previous gas-phase smdies of cationic iron clusters have included determination of the thermochemistry and bond energies of iron cluster oxides and iron carbonyl complexes by Armentrout and co-workers [74, 75], and a classification of the dissociation patterns of small iron oxide cluster cations by Schwarz et al. [76]. [Pg.303]

This allows the classification of these phases into two groups ReO - like structures and oxysalts such as molybdates. The first one consists of host matrices having extended defects the second one, of point defects such as anionic and cationic vacancies. [Pg.52]


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See also in sourсe #XX -- [ Pg.197 ]




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