2010
DOI: 10.1016/j.theochem.2010.07.007
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A computational study of ethyl chloride conversion reactions catalyzed by acidic zeolites

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Cited by 11 publications
(18 citation statements)
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“…The increase in linebroadening is attributed to a decrease in motion for the loaded aspirin presumably due to interactions with the zeolite. In addition, the aromatic carbons in the drug loaded spectrum are shifted ~10 ppm in comparison to the physical mixture accounting for the interaction of phenyl group with the zeolite which is similar to what has been observed previously with polymeric and mesoporous silica hosts [125][126][127][128][129]. 4.4.3 Aspirin Release from HYThe release profiles for aspirin from zeolites, HY-5, HY-30 and HY-60 are shown inFigure 25a-c. Nearly complete release of aspirin is observed after ~300 minutes for HY-5.…”
supporting
confidence: 80%
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“…The increase in linebroadening is attributed to a decrease in motion for the loaded aspirin presumably due to interactions with the zeolite. In addition, the aromatic carbons in the drug loaded spectrum are shifted ~10 ppm in comparison to the physical mixture accounting for the interaction of phenyl group with the zeolite which is similar to what has been observed previously with polymeric and mesoporous silica hosts [125][126][127][128][129]. 4.4.3 Aspirin Release from HYThe release profiles for aspirin from zeolites, HY-5, HY-30 and HY-60 are shown inFigure 25a-c. Nearly complete release of aspirin is observed after ~300 minutes for HY-5.…”
supporting
confidence: 80%
“…107 In this study, a T12 cluster model (shown in Figure 26a) was used to study the close agreement with the literature results for similar clusters. 112,[115][116][117][118][119][120] After the optimization of the cluster models, aspirin (and the aspirin anion) was added to the system and was allowed to optimize by varying the distance of aspirin with the zeolitic models (Bronsted acid site). The optimized aspirin-zeolite structure is shown in Figure 26 b,c and the aspirin anion zeolite structure is shown in Figure 26d.…”
Section: Computational Resultsmentioning
confidence: 99%
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“…[10][11][12][13] The ONIOM methodology has been shown to be quite successful in the description of computationally time-consuming systems, by allowing the partitioning of a large cluster computation into various levels of accuracy, for example the active region treated with an advanced level of theory and the remaining region treated with an inexpensive, less accurate method. In the present work, the DFT-B3LYP, two layer ONIOM (MP2:B3LYP) and MP2 levels of theory were used.…”
Section: Methodsmentioning
confidence: 99%