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Cluster activation periods

In this brief review we illustrated on selected examples how combinatorial computational chemistry based on first principles quantum theory has made tremendous impact on the development of a variety of new materials including catalysts, semiconductors, ceramics, polymers, functional materials, etc. Since the advent of modem computing resources, first principles calculations were employed to clarify the properties of homogeneous catalysts, bulk solids and surfaces, molecular, cluster or periodic models of active sites. Via dynamic mutual interplay between theory and advanced applications both areas profit and develop towards industrial innovations. Thus combinatorial chemistry and modem technology are inevitably intercoimected in the new era opened by entering 21 century and new millennium. [Pg.11]

First-principle quantum chemical methods have advanced to the stage where they can now offer qualitative, as well as, quantitative predictions of structure and energetics for adsorbates on surfaces. Cluster and periodic density functional quantum chemical methods are used to analyze chemisorption and catalytic surface reactivity for a series of relevant commercial chemistries. DFT-predicted adsorption and overall reaction energies were found to be within 5 kcal/mol of the experimentally known values for all systems studied. Activation barriers were over-predicted but still within 10 kcal/mol. More specifically we examined the mechanisms and reaction pathways for hydrocarbon C-H bond activation, vinyl acetate synthesis, and ammonia oxidation. Extrinsic phenomena such as substituent effects, bimetallic promotion, and transient surface precursors, are found to alter adsorbate-surface bonding and surface reactivity. [Pg.3]

The catalytic hydrogenation of diphenylacetylene promoted by cluster 53 is very slow under mild conditions (Table 1, entry 31). " The low rate, the occurrence of activation periods, and the deactivation of the catalyst after long reaction times (ca 500 min), have prevented a kinetic analysis of the reaction. Nevertheless, the observation of the dihydride [Ru3( -H)2( 3-ampy)( U-PhC=CHPh)(PPh3)2(CO)5] (54) (Fig. 17) in the catalytic solutions suggests that the catalytic hydrogenation of diphenylacetylene promoted by complex 53 follows a similar mechanism to that described above for complex 44 (Fig. 15). The slower reaction rate and the activation period are probably because the activation energy for the release of CO from 53 (to create the necessary vacant site for the subsequent reaction with hydrogen to... [Pg.735]

Table I. Activation periods of clusters recorded by the digital seismic network and permanent station BAI. Table I. Activation periods of clusters recorded by the digital seismic network and permanent station BAI.
Recently, a few theoretical works also concentrated on ODHP reaction and yielded some interesting but contradicting results. Curtiss et al. [65] have performed both cluster and periodic slab model calculations to investigate the activation of propane over V2O5 (010). However, they only concentrated on the oxygen insertion mode (i.e., TS5 in Fig. 5) and arrived at a calculated barrier for... [Pg.124]

The cluster model approach with various constraints imposed by the lattice appeared to be effective in the studies of the structure and reactivity of active sites. Nevertheless, the need to apply embedding scheme and especially periodical calculations is quite evident. Unfortunately, the cluster and periodical approaches can lead to disagreement in the calculated results. Understanding of the reasons and removal of this shortcoming is a task for the future studies. [Pg.637]

Since (I-A) is a measure of hardness according to the maximum hardness principle, the stability of a system or the favorable direction of a physicochemical process is often dictated by this quantity. Because aromatic systems are much less reactive, especially toward addition reactions, I -A may be considered to be a proper diagnostic of aromaticity. Moreover, (/ - A) has been used in different other contexts, such as stability of magic clusters, chemical periodicity, molecular vibrations and internal rotations, chemical reactions, electronic excitations, confinement, solvation, dynamics in the presence of external field, atomic and molecular collisions, toxicity and biological activity, chaotic ionization, and Woodward-Hoffmann rules. The concept of absolute hardness as a unifying concept for identifying shells and subshells in nuclei, atoms, molecules, and metallic clusters has also been discussed by Parr and Zhou. ... [Pg.437]

There are three different techniques that are currently used to model the structure at the active site, known as cluster, embedded cluster, and periodic methods. Each method has its own set of advantages and disadvantages. Characteristic models for each of these systems are presented in Fig. 1.2. [Pg.14]

What was not known at the time when these first PHIP experiments with heterogeneous catalysts were performed was the fact that metal clusters and particles can produce PHIP effects as well. In fact, it was widely believed that the mechanism of catalytic hydrogenation on metal surfaces was incompatible with the requirement of the pairwise H2 addition to a substrate. Therefore, the possibility cannot be excluded that the immobilized Rh complexes used in the early studies were precatalysts rather than the actual catalysts, especially in some of the gas - solid hydrogenations. Extended catalyst activation periods may have resulted in the reduction of supported metal complexes and the production of nanoparticulate Rh catalysts. However, the main conclusion that PHIP effects can be produced in heterogeneous processes is still valid. [Pg.157]

The influence of both bivalent and trivalent metal substituent from a range of metal cation (Co, Mn, Mg, Fe, and Cr) on the acidic property (both Bronsted and Lewis) of metal-substituted aluminum phosphate MeAlPOs is monitored [91]. The influence of the environment of the acid site is studied both by localized cluster and periodic calculations to propose that the acidity of AlPOs can be predictable with accuracy so that AlPO material with desired acidity can be designed. A semiquan-titative reactivity scale within the domain of HSAB principle is proposed in terms of the metal substitutions using DFT. It is observed that for the bivalent metal cations Lewis acidity linearly increases with ionic size, whereas the Bronsted acidity is solely dependent on the nearest oxygen environment. Intramolecular and intermolecular interactions show that once the active site of the interacting species is identified, the influence of the environment can be prescribed. Mg" -doped AlPO-34 exhibits highest Bronsted acidity, whereas Cr -doped species shows lowest acidity. Fe -Fe -doped AlPO-34 shows highest Lewis acidity, whereas Mn", Mg" shows lowest acidity. [Pg.170]

Figure 3.5 schematically lists the various approaches taken in the literature to applying DFT methods to electrocatalytic reactions. These methods are first differentiated by cluster and periodic representation of the electrode surface. The reaction center model (Model 1 in Figure 3.5), developed by Anderson and coworkers,is an early attempt to evaluate potential dependent reaction energies and activation barriers. It relies on using a small cluster to represent the reaction center of the electrode and evaluates the electron alfinity of such cluster. We will not detail this method, because its fidelity is questionable given its arbitrarily small representation of the electrode when considering its electronic structure and lack of scalability to a more accurate electrode representation. [Pg.135]

Thermal reduction at 623 K by means of CO is a common method of producing reduced and catalytically active chromium centers. In this case the induction period in the successive ethylene polymerization is replaced by a very short delay consistent with initial adsorption of ethylene on reduce chromium centers and formation of active precursors. In the CO-reduced catalyst, CO2 in the gas phase is the only product and chromium is found to have an average oxidation number just above 2 [4,7,44,65,66], comprised of mainly Cr(II) and very small amount of Cr(III) species (presumably as Q -Cr203 [66]). Fubini et al. [47] reported that reduction in CO at 623 K of a diluted Cr(VI)/Si02 sample (1 wt. % Cr) yields 98% of the silica-supported chromium in the +2 oxidation state, as determined from oxygen uptake measurements. The remaining 2 wt. % of the metal was proposed to be clustered in a-chromia-like particles. As the oxidation product (CO2) is not adsorbed on the surface and CO is fully desorbed from Cr(II) at 623 K (reduction temperature), the resulting catalyst acquires a model character in fact, the siliceous part of the surface is the same of pure silica treated at the same temperature and the anchored chromium is all in the divalent state. [Pg.11]

The similarity of the reactivity patterns for niobium and cobalt and the non-reacti vi ty of iron with nitrogen suggests that dissociative chemisorption is taking place. Dissociation of molecularly chemisorbed nitrogen is an activated process on all metals(35) and is most exothermic for the early metals in the periodic tab e(36). The limited observations on clusters seems to be consistent with these trends. [Pg.58]

One of the most efficient approaches allowing us to investigate in a reasonable time a catalytic cycle on non-periodic materials in combination with reliable DFT functional is a cluster approach. The present study is devoted to the investigation of the effect of the cluster size on the energetic properties of the (p-oxo)(p-hydroxo)di-iron metal active site. As a first step, we have studied the stability of the [Fen(p-0)(p-0H)Fen]+ depending on the A1 position and cluster size. Then, we compared the energetics for the routes involving the first two elementary steps of the N20 decomposition catalytic process i.e. the adsorption and dissociation of one N20 molecule. [Pg.369]

Cluster analysis Is used to determine the particle types that occur in an aerosol. These types are used to classify the particles in samples collected from various locations and sampling periods. The results of the sample classifications, together with meteorological data and bulk analytical data from methods such as instrunental neutron activation analysis (INAA). are used to study emission patterns and to screen samples for further study. The classification results are used in factor analysis to characterize spatial and temporal structure and to aid in source attribution. The classification results are also used in mass balance comparisons between ASEM and bulk chemical analyses. Such comparisons allow the combined use of the detailed characterizations of the individual-particle analyses and the trace-element capability of bulk analytical methods. [Pg.119]

During this same period Suzuki et al. (28-31) published a series of papers on the properties of yeast aconitase purified from Candida lipotytica. This material remained active upon purification and was analyzed to contain 2 Fe and 1 S=/protein molecule of 68,500 daltons (28). One Fe could be removed with chelators without loss of activity (30). Enzyme reconstituted with 57pe was studied with EPR and MSssbauer spectroscopy (31). Even though the measured Mbssbauer parameters did not match those of other Fe-S proteins ( AEq = 0.9 mm/s and 5 = 0.36 mm/s for the dominant species), the spectra were interpreted as resulting from a [2Fe-2S] cluster. In addition chemical analyses on the reconstituted material now gave 2 Fe... [Pg.347]


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See also in sourсe #XX -- [ Pg.617 ]




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Activation period

Active clusters

Periodic activity

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