2009
DOI: 10.1103/physrevb.80.045404
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Prediction of distinct surface segregation effects due to coordination-dependent bond-energy variations in alloy nanoclusters

Abstract: The first implementation of a recently introduced method based on the extraction of the coordination dependence of surface bond-energy variations ͑CBEV͒ from density-functional theory ͑DFT͒ computed puremetal surface-energy anisotropy is reported. In particular, polynomial functions fitted to DFT data computed previously for Pt, Pd, and Rh are used as input energetics for statistical-mechanical computations of Pt-Pd 923-atom cuboctahedron-cluster compositional structures ͑and Pt-Rh͑111͒ as a test case͒ using t… Show more

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Cited by 30 publications
(33 citation statements)
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“…For surface and subsurface sites coordination-dependent bond energy variations (CBEV, δw pq ) were extracted from DFT computed surface energies via 21,22…”
Section: B Fcem/cbevmentioning
confidence: 99%
See 1 more Smart Citation
“…For surface and subsurface sites coordination-dependent bond energy variations (CBEV, δw pq ) were extracted from DFT computed surface energies via 21,22…”
Section: B Fcem/cbevmentioning
confidence: 99%
“…The energetics required by FCEM can be provided by the extraction of coordination dependent bond energy variations (CBEV) from DFT computed surface energies. 21,22 The extension of FCEM/CBEV from central-symmetric to more complex chemical orderings has recently been reported for the study of Pt-Ir clusters. 23 The model was able to characterise "quasi-Janus" behaviour in the system, as has recently been investigated by Bochicchio and Ferrando.…”
Section: Introductionmentioning
confidence: 99%
“…13 The dynamical properties of alloy clusters, e.g., the surface segregations, 14,15 are different from that of monometallic clusters and dependent on the internal temperature 16 and the composition of the clusters. 13 The dynamical properties of alloy clusters, e.g., the surface segregations, 14,15 are different from that of monometallic clusters and dependent on the internal temperature 16 and the composition of the clusters.…”
Section: Molecular Dynamics Simulations Of the Internal Temperature Dmentioning
confidence: 99%
“…The superior properties of metallic nanoparticles depend on surface atoms and their distributions [1,16,17], which are directly associated with the sizes and shapes of the particles [12].…”
Section: Introductionmentioning
confidence: 99%