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In the obtained TPD spectra the CO TPD maximum shift from Tm = 500 K to Tm = 550 K for the clean Ni(111) and Ni(111) overlayer on Ru(0001), respectively Determine, assuming a first-order desorption rate and a pre-exponential factor of 1013 s 1, what this shift corresponds to in changed bonding energy A real catalyst is now prepared and it is assumed that, as described above, all the metal particles consist of Ru covered by Ni, which exposes solely the Ni(111) surface We now want to estimate the area of the metal by adsorbing CO at 300 K It is found that the surface is saturated with CO at this temperature when 34 mL CO (measured at 1 bar and 300 K) has been adsorbed on 1 g of the catalyst.

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(c) Calculate the total metal area per gram of catalyst when it is assumed that the saturation coverage of CO on the Ni(111) on Ru surface is 05 with respect to the Ni atoms We now want to estimate the CO coverage when the catalyst is located in a plug-flow reactor with a partial pressure of PCO = 001 bar at T = 1000 K The desorption energy is estimated to be 147 kJ mol 1 and the pre-exponential factor is set to the usual 1013 s 1, while the sticking coefficient is estimated to be 02 and independent of temperature For simplicity we assume that each Ni atom can adsorb a CO molecule (d) Estimate the CO coverage under those conditions.

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One interesting feature of an education Grid is the richness of the (meta) data illustrated by the properties de ned by IMS and ADL and by the many special Web services in Table 436 Consistent with the lack of emphasis on performance, education does not have individually huge data blocks but rather a myriad (as many students) of very rich XML structures We can expect XML s natural support of complex objects to be more important in education than some other enterprises As mentioned, we will discuss an education Grid for science and engineering elds and adopt the hierarchical model used in Section 432 First, we assume that science and engineering will be implemented as Web services and in Table 434, give a few simple examples.

Omit lower levels that you do not need in order to reduce the size of the offline cube file. Make sure you include any levels that have grouped items.

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A mixture of CO and H2 is now passing over the 1 g of catalyst under the above conditions (T = 1000 K, Ptot = 100 bar) and the dominant product CH4 is measured downstream from the reactor The flow rate is 100 mL min 1 and the concentration of methane is 10%, both measured at 1 bar and 300 K We can assume ideal gas behavior (e) Determine the turnover frequency (TOF) for methane formation per Ni atom if we assume that each gram of catalyst contains 15 m2 of active Ni(111) on Ru (f) In the above calculation we calculated the TOF per Ni atom present on the ideal flat Ni(111) surface Methane formation, however, involves the dissociation of CO Can you think of other more realistic sites where this reaction could take place and what would that mean for the TOF for those sites.

Note that we will, for brevity, drop engineering in the following text and discuss science even though engineering has essentially identical considerations Table 435 specializes to research, which corresponds to e-Science as discussed in several places in this book especially s 1, 7, 35 and 36 Table 436 lists a set of critical education Web services, which are applicable in many elds Table 434 notes the special importance of mathematics and support of the natural topologies of science two and three-dimensional spaces are dominant but more general cases must also be supported Geographical Information Systems (GIS) as a Web service would support both educational curricula on the environment as well as the latest simulations of a new model for earthquake triggering The general authoring Web service of Table 43.

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