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Model support

Mesitylene (13 5 trimethylbenzene) is the most stable of the tnmethylbenzene isomers Why2 Which isomer do you think is the least stable" Make a molecular model of each isomer and compare their calculated strain energies with your predictions Do space filling models support your explanation" ... [Pg.472]

The stereochemical course of the reaction may be rationalized by assuming a six-mem-bered chelate which presumably exists in a chair-like conformation. Molecular models support the assumption that the nucleophile preferentially attacks from the bottom face of the complex due to the steric hindrance of the axial A-methyl group. [Pg.729]

Figure 3.3. Schematic representation of the adsorption, surface diffusion, and surface reaction steps identified by surface-science experiments on model supported-palladium catalysts [28]. Important conclusions from this work include the preferential dissociation of NO at the edges and defects of the Pd particles, the limited mobility of the resulting Nads and Oads species at low temperatures, and the enhancement in NO dissociation promoted by strongly-bonded nitrogen atoms in the vicinity of edge and defect sites at high adsorbate coverages. (Figure provided by Professor Libuda and reproduced with permission from the American Chemical Society, Copyright 2004). Figure 3.3. Schematic representation of the adsorption, surface diffusion, and surface reaction steps identified by surface-science experiments on model supported-palladium catalysts [28]. Important conclusions from this work include the preferential dissociation of NO at the edges and defects of the Pd particles, the limited mobility of the resulting Nads and Oads species at low temperatures, and the enhancement in NO dissociation promoted by strongly-bonded nitrogen atoms in the vicinity of edge and defect sites at high adsorbate coverages. (Figure provided by Professor Libuda and reproduced with permission from the American Chemical Society, Copyright 2004).
In addition to performing experiments under pressures similar to those encountered in real processes to bridge the pressure gap , surface scientists have also been increasing the level of complexity of the model surfaces they use to better mimic real supported catalysts, thus bridging the materials gap . A few groups, including those of Professors Freund and Henry, have extended this approach to address the catalytic reduction of NO. The former has published a fairly comprehensive review on the subject [23], Here we will just highlight the information obtained on the reactivity of NO + CO mixtures on these model supported catalysts. [Pg.83]

Rainer, D. R., Vesecky, S. M., Koranne, M. et al. (1997) The CO + NO reaction over Pd A combined study using single-crystal, planar-model-supported, and high-surface-area Pd/Al203 catalysts , J. Catal., 167, 234. [Pg.96]

Techniques based on the interaction of ions with solids, such as SIMS and LEIS, have undoubtedly been accepted in catalyst characterization, but are by no means as widely applied as, for example, XPS or XRD. Nevertheless, SIMS, with its unsurpassed sensitivity for many elements, may yield unique information on whether or not elements on a surface are in contact with each other. LEIS is a surface technique with true outer layer sensitivity and is highly useful for determining to what extent a support is covered by the catalytic material. RBS is less suitable for studying catalysts but is indispensable for determining concentrations in model systems, where the catalytically active material is present in monolayer-like quantities on the surface of a flat model support. [Pg.94]

Figure 4.16 RBS spectra of an MoOt model catalyst supported on a flat SiO2/Si(100) model support, before and after sulfidation in a mixture of H2S and H2 at room temperature, and at 300 °C (courtesy of LJ. van IJzendoom, Eindhoven [21J). Figure 4.16 RBS spectra of an MoOt model catalyst supported on a flat SiO2/Si(100) model support, before and after sulfidation in a mixture of H2S and H2 at room temperature, and at 300 °C (courtesy of LJ. van IJzendoom, Eindhoven [21J).
Figure 9.1 Positive (left) and negative (right) static SIMS spectra of RhCI3 x H20 on tantalum (top) and of a model catalyst prepared by adsorbing Rh complexes derived from RhCI( x H20 in water on an AljOj/Al model support (from Borg etal. [4]). Figure 9.1 Positive (left) and negative (right) static SIMS spectra of RhCI3 x H20 on tantalum (top) and of a model catalyst prepared by adsorbing Rh complexes derived from RhCI( x H20 in water on an AljOj/Al model support (from Borg etal. [4]).
Realistic model systems. Some techniques become much more informative if suitable model systems are used. Examples are the thin-film oxides used as conducting model supports, which offer much better opportunities for surface analysis than do technical catalysts. Another example is provided by the non-porous, spherical supports that have successfully been employed in electron microscopy. It is important that the model systems exhibit the same chemistry as the catalyst they represent. [Pg.288]

Commodity-related models support requirements in sales and procurement as shown in table 16. [Pg.129]

Altogether, the model supports the company to optimize monthly profits based on volume decisions consistent as far as possible to company s profit and loss structures. Ideally, it is fully consistent with the company s profit and loss statement requiring integrating costs for support areas such as further overhead costs or capital costs on receivables. This would be a long-term vision, where further research should be directed to. [Pg.148]

Model implementation and case study evaluation need to prove that the model supports value chain planning decisions towards global optima that the model is applicable in practice based in industry case data and that solution times are acceptable for application in the global monthly planning process. [Pg.206]

Basis for calculating capital costs on transit and local inventories are the planned product values. The model supports future inventory value planning based on the raw material price offers. Fig. 82 shows results of the inventory value planning. [Pg.221]

P4. Proctor, J. W., Rat sarcoma model supports both soil seed and mechanical theories of metastatic spread. Br. J. Cancer 34, 651-654 (1976). [Pg.164]


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See also in sourсe #XX -- [ Pg.252 ]




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Field Studies to Support Model Validation

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