2005
DOI: 10.1063/1.1898223
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Global optimization of bimetallic cluster structures. I. Size-mismatched Ag–Cu, Ag–Ni, and Au–Cu systems

Abstract: A genetic algorithm approach is applied to the optimization of the potential energy of a wide range of binary metallic nanoclusters, Ag-Cu, Ag-Ni, Au-Cu, Ag-Pd, Ag-Au, and Pd-Pt, modeled by a semiempirical potential. The aim of this work is to single out the driving forces that make different structural motifs the most favorable at different sizes and chemical compositions. Paper I is devoted to the analysis of size-mismatched systems, namely, Ag-Cu, Ag-Ni, and Au-Cu clusters. In Ag-Cu and Ag-Ni clusters, the … Show more

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Cited by 317 publications
(308 citation statements)
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“…Besides being poorly miscible in bulk phases 42 , these systems have the element of larger atomic radius (Ag or Au) presenting smaller cohesive and surface energies than the other element. These features are all in favour of Ag or Au surface segregation in these nanoparticles, a behaviour that has been confirmed, both experimentally and computationally, by several studies 2,[5][6][7][9][10][11][13][14][15][16][17][19][20][21][22][23][24][25][29][30][31][32]35 . However, the fact that the cluster surface is expected to contain mostly Ag or Au does not determine completely chemical ordering.…”
Section: Introductionmentioning
confidence: 75%
“…Besides being poorly miscible in bulk phases 42 , these systems have the element of larger atomic radius (Ag or Au) presenting smaller cohesive and surface energies than the other element. These features are all in favour of Ag or Au surface segregation in these nanoparticles, a behaviour that has been confirmed, both experimentally and computationally, by several studies 2,[5][6][7][9][10][11][13][14][15][16][17][19][20][21][22][23][24][25][29][30][31][32]35 . However, the fact that the cluster surface is expected to contain mostly Ag or Au does not determine completely chemical ordering.…”
Section: Introductionmentioning
confidence: 75%
“…Low energy structures of similarly sized metallic (e.g. Au 20 41 ) and bimetallic 42 clusters have been obtained using genetic algorithms combined with DFT to evaluate energies and carry out geometry optimizations [41][42][43] .…”
Section: Introductionmentioning
confidence: 99%
“…[1] The existing experimental as well as theoretical works on the M-NM binary nano-clusters in general, bring out an interesting common feature which suggests that when the components of the binary nano clusters have a miscibility gap in their bulk phases, a core-shell like chemical ordering is more likely to form in order to minimize the internal strain. [19,[36][37][38] The situation for the Ni-Ag nanoclusters is unfortunately confusing both from the point of view of experimental as well as theoretical studies, with some reports supporting core-shell like configuration following the general trend of M-NM binary clusters, [39][40][41][42] while others report formation of homogeneous alloy structure. [43][44][45][46][47]For example, global optimization of the NiAg nano clusters using some semi-empirical potentials with the tight-binding second moment approximation indicated poly-icosahedral structure of core-shell type for cluster sizes of 34 and 38 atoms.…”
Section: Introductionmentioning
confidence: 99%