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      Size-dependent phase diagrams of metallic alloys: A Monte Carlo simulation study on order–disorder transitions in Pt–Rh nanoparticles

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          Summary

          Nanoparticles of Pt–Rh were studied by means of lattice-based Monte Carlo simulations with respect to the stability of ordered D0 22- and 40-phases as a function of particle size and composition. By thermodynamic integration in the semi-grand canonical ensemble, phase diagrams for particles with a diameter of 7.8 nm, 4.3 nm and 3.1 nm were obtained. Size-dependent trends such as the lowering of the critical ordering temperature, the broadening of the compositional stability range of the ordered phases, and the narrowing of the two-phase regions were observed and discussed in the context of complete size-dependent nanoparticle phase diagrams. In addition, an ordered surface phase emerges at low temperatures and low platinum concentration. A decrease of platinum surface segregation with increasing global platinum concentration was observed, when a second, ordered phase is formed inside the core of the particle. The order–disorder transitions were analyzed in terms of the Warren–Cowley short-range order parameters. Concentration-averaged short-range order parameters were used to remove the surface segregation bias of the conventional short-range order parameters. Using this procedure, it was shown that the short-range order in the particles at high temperatures is bulk-like.

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          Most cited references33

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          Statistical Theory of Equations of State and Phase Transitions. II. Lattice Gas and Ising Model

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            An efficient, multiple range random walk algorithm to calculate the density of states

            We present a new Monte Carlo algorithm that produces results of high accuracy with reduced simulational effort. Independent random walks are performed (concurrently or serially) in different, restricted ranges of energy, and the resultant density of states is modified continuously to produce locally flat histograms. This method permits us to directly access the free energy and entropy, is independent of temperature, and is efficient for the study of both 1st order and 2nd order phase transitions. It should also be useful for the study of complex systems with a rough energy landscape.
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              An Approximate Theory of Order in Alloys

              J. Cowley (1950)
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                Author and article information

                Contributors
                Role: Associate Editor
                Journal
                Beilstein J Nanotechnol
                Beilstein Journal of Nanotechnology
                Beilstein-Institut (Trakehner Str. 7-9, 60487 Frankfurt am Main, Germany )
                2190-4286
                2012
                2 January 2012
                : 3
                : 1-11
                Affiliations
                [1 ]Institut für Materialwissenschaft, Technische Universität Darmstadt, Petersenstr. 32, D-64287 Darmstadt, Germany
                Article
                10.3762/bjnano.3.1
                3304325
                22428091
                a00ae744-87a7-4129-8227-796f31bc60bd
                Copyright © 2012, Pohl et al; licensee Beilstein-Institut.

                This is an Open Access article under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                The license is subject to the Beilstein Journal of Nanotechnology terms and conditions: ( http://www.beilstein-journals.org/bjnano)

                History
                : 27 September 2011
                : 5 December 2011
                Categories
                Full Research Paper
                Nanoscience
                Nanotechnology

                monte carlo simulation,nanoparticles,nanothermodynamics,phase diagram,pt-rh,thermodynamics

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