2015
DOI: 10.1016/j.jcat.2014.10.009
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Ab initio prediction of the equilibrium shape of supported Ag nanoparticles on α-Al 2 O 3 (0 0 0 1)

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Cited by 30 publications
(28 citation statements)
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“…6 Many approaches have been developed to achieve higher selectivity to EO, including morphology and size control of the TM NPs, alloying with different TMs and the utilization of novel promoters. [10][11][12][13][14][15][16][17] Au is also a Group IB metal but has long been considered to be catalytic inert due to its nobleness in bulk form. Torres et al studied the epoxidation mechanism of ethylene on an oxygen-atom-covered Au(111) surface theoretically.…”
Section: Introductionmentioning
confidence: 99%
“…6 Many approaches have been developed to achieve higher selectivity to EO, including morphology and size control of the TM NPs, alloying with different TMs and the utilization of novel promoters. [10][11][12][13][14][15][16][17] Au is also a Group IB metal but has long been considered to be catalytic inert due to its nobleness in bulk form. Torres et al studied the epoxidation mechanism of ethylene on an oxygen-atom-covered Au(111) surface theoretically.…”
Section: Introductionmentioning
confidence: 99%
“… 3 , 4 In ethylene epoxidation under industrial reaction conditions (200–250 °C, 15–20 bar), the initially metallic silver particles partially oxidize, forming a unique silver and oxygen containing surface for the catalytic reaction. 5 , 6 A profound influence of the chemical composition, size, and shape of nanoparticles on the catalytic performance has been demonstrated for many reactions including epoxidation reactions. 7 9 Furthermore, the impact of the catalytic reaction itself on the structure of the catalyst particles, resulting in dynamic behavior, has been emphasized.…”
mentioning
confidence: 99%
“… 7 9 Furthermore, the impact of the catalytic reaction itself on the structure of the catalyst particles, resulting in dynamic behavior, has been emphasized. 6 , 10 12 This necessitates a detailed understanding of how catalytically active structures evolve under reaction conditions to establish much-sought structure-performance relations.…”
mentioning
confidence: 99%
“…This reduces the computational burden to such an extent that in fact first-principles electronic structure methods like DFT may directly be employed to produce these numbers. This approach is for instance commonly followed to determine nanoparticle shapes in heterogeneous catalysis [68][69][70]. It has also been used for growth applications from solutions, where also any solvent influences have been neglected [71,72].…”
Section: Crystal Structure and Shape Predictionmentioning
confidence: 99%