Literature DB >> 18447012

Dynamical equilibrium in nanoalloys.

F Lequien1, J Creuze, F Berthier, B Legrand.   

Abstract

Using Monte Carlo simulations on a lattice-gas model, we study the segregation isotherm of a cluster made of thousands of atoms for a system that tends to phase separate, e.g., Cu-Ag. We show that the Ag segregation involves the vertices first, then the edges and finally the (111) and (100) facets. In these facets, the segregation starts on the outer shells, leading to a heterogeneous chemical composition. When the nominal Ag concentration (or the chemical potential difference delta(mu)c between Ag and Cu), is increased a dynamical equilibrium replaces the progressive evolution of the segregation towards the core of the facets: the whole facet oscillates between one pseudo Ag-pure state and another one corresponding to a rather Cu-pure core surrounded by Ag-enriched outer shells. A remarkable consequence is that very different concentrations can be observed for facets of equivalent orientation. This dynamical equilibrium occurs in a delta(mu) range that is very close to the critical value delta(mu)c associated with the first-order phase transition of the Fowler-Guggenheim type that affects the surfaces of semi-infinite alloys. These results, which have been obtained in the grand-canonical ensemble, can also be derived in the canonical ensemble due to a sufficient number of facets that behave with each other as a reservoir.

Entities:  

Year:  2008        PMID: 18447012     DOI: 10.1039/b705281b

Source DB:  PubMed          Journal:  Faraday Discuss        ISSN: 1359-6640            Impact factor:   4.008


  1 in total

1.  Enhanced photocatalytic, electrochemical and photoelectrochemical properties of TiO2 nanotubes arrays modified with Cu, AgCu and Bi nanoparticles obtained via radiolytic reduction.

Authors:  Michał Nischk; Paweł Mazierski; Zhishun Wei; Katarzyna Siuzdak; Natalie Amoin Kouame; Ewa Kowalska; Hynd Remita; Adriana Zaleska-Medynska
Journal:  Appl Surf Sci       Date:  2016-11-30       Impact factor: 6.707

  1 in total

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