2007
DOI: 10.1103/physrevb.76.045429
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Equilibrium properties of binary and ternary metallic immiscible nanoclusters

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Cited by 36 publications
(20 citation statements)
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“…Due to the substantial numerical effort arising from the fact that the presence of more than one species in the clusters greatly enhances the complexity of the problem, computational studies for polyatomic clusters were, in the past, either performed using model potentials, 10,11 restricted to selected compositions, [11][12][13] or smaller systems with only a handful of atoms. 14 In this work, we present results from a systematic ab initio investigation over the whole composition range for 13-atom binary TM clusters composed of the elements Mn, Fe, Co, and Ni, as well as 55-atom Co-Mn clusters.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the substantial numerical effort arising from the fact that the presence of more than one species in the clusters greatly enhances the complexity of the problem, computational studies for polyatomic clusters were, in the past, either performed using model potentials, 10,11 restricted to selected compositions, [11][12][13] or smaller systems with only a handful of atoms. 14 In this work, we present results from a systematic ab initio investigation over the whole composition range for 13-atom binary TM clusters composed of the elements Mn, Fe, Co, and Ni, as well as 55-atom Co-Mn clusters.…”
Section: Introductionmentioning
confidence: 99%
“…Such nanoparticles can be synthesized in the laboratory and are being extensively studied experimentally [6,[15][16][17][18] and theoretically [19][20][21][22][23][24][25][26][27][28], since they exhibit interesting electronic, magnetic, optical, chemical, and biological properties. In our calculations, we use the actual optical and magneto-optical constants of the constituent materials, ϵ z , ϵ r , ϵ κ , ϵ s , in the spectral region that interests us here, deduced from the experiment [29][30][31], while μ g 1 and μ s 1.…”
Section: Resultsmentioning
confidence: 99%
“…For example, Wu et al proposed an adaptive immune optimization algorithm based on Gupta potentials to study the stability of CueAgeAu trimetallic clusters with 19 and 55 atoms [5]. Abdiravuf et al investigated the CoeAgeCu trimetallic NPs using the MC method [28]. Cheng et al employed the MC method to examine the surface segregation of the icosahedral AgeCueAu NPs [29].…”
Section: Introductionmentioning
confidence: 99%