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Bimetallic nanoalloys such as nanoparticles and nanowires are attracting significant attention due to their vast potential applications such as in catalysis and nanoelectronics. Notably, Pd-Pt nanoparticles/nanowires are being widely…

Materials Science · Physics 2015-02-27 Kayoung Yun , Pil-Ryung Cha , Jaegab Lee , Jiyoung Kim , Ho-Seok Nam

We have used the Monte Carlo (MC) simulation method with Metropolis algorithm to study the finite temperature phase transition properties of a binary alloy spherical nanoparticle with radius $r$ of the type $A_{p}B_{1-p}$. The system…

Statistical Mechanics · Physics 2017-03-08 Z. D. Vatansever , E. Vatansever

Bimetallic plasmonic nanoparticles enable tuning of the optical response and chemical stability by variation of the composition. The present numerical simulation study compares Ag-Au alloy, Ag@Au core-shell, and Au@Ag core-shell bimetallic…

Optics · Physics 2022-03-23 Rituraj Borah , Sammy W. Verbruggen

At the nanoscale, materials exhibit unique properties that differ greatly from those of the bulk state. In the case of Ag$_x$Pt$_{1-x}$ nanoalloys, we aimed to study the solid-liquid transition of nanoparticles of different sizes and…

Materials Science · Physics 2022-05-31 Alexis Front , Djahid Oucheriah , Christine Mottet , Hakim Amara

The growth of binary alloy clusters on a weakly interacting substrate through codeposition of two atomic species is studied by kinetic Monte Carlo simulation. Our model describes salient features of CoPt$_3$-nanoclusters, as obtained…

Statistical Mechanics · Physics 2007-05-23 Stefan Heinrichs , Wolfgang Dieterich , Philipp Maass

A Monte-carlo (MC) simulation procedure has been developed where the pair bond energies are allowed to take into account the various coordination numbers of surface atoms and the presence of adsorbates. The pair bond energies are calculated…

Materials Science · Physics 2009-10-31 Mahesh Menon , Badal C. Khanra

The ordered structure of binary alloy nanoparticles determines their magnetic and catalytic characteristics. In the alloys after annealing, one of the components preferentially segregates on the surface to reduce surface energy. This…

At the nanometric scale, the synthesis of a random alloy (i.e. without phase segregation, whatever the composition) by chemical synthesis remains a not easy task, even for simple binary type systems. In this context, a unique approach based…

Monte-Carlo simulation technique has been used to investigate the effect of temperature and adsorbed gases on the composition profile of unsupported Pt-Rh nanocatalysts. For a 2406 atom fcc cubo-octahedral Pt$_{\rm{}50}$Rh$_{\rm{}50}$…

Materials Science · Physics 2009-11-07 Abir De Sarkar , Badal C. Khanra

We predict general trends for surface segregation in a binary metal cluster based on the difference between the atomic properties of the constituent elements. Considering the attractive and repulsive contributions of the cohesive energy of…

Materials Science · Physics 2008-05-12 Juan Andrés Reyes-Nava , José Luis Rodríguez-López , Umapada Pal

Ultracold atomic systems have been of great research interest in the past, with more recent attention being paid to systems of mixed species. In this work we carry out non-perturbative Path Integral Monte Carlo (PIMC) simulations of N…

Quantum Gases · Physics 2017-10-19 William G. Dawkins , Alexandros Gezerlis

The formation process of core-shell bimetallic nanoparticles synthesized by sputtering onto a substrate is observed in real time using an originally developed acoustic technique. The technique enables us to evaluate the structural change of…

Applied Physics · Physics 2022-03-04 Nobutomo Nakamura , Koji Matsuura , Akio Ishii , Hirotsugu Ogi

Nanoalloys (or alloy nanoparticles) are an important class of materials that are promising for their functional properties. However, designing synthesis protocols to control their structure and chemical ordering is rather challenging. Part…

Materials Science · Physics 2026-03-25 Manoj Settem , Emanuele Telari , Antonio Tinti , Riccardo Ferrando , Alberto Giacomello

Metal nanoparticles are receiving increased scientific attention owing to their unique physical and chemical properties that make them suitable for a wide range of applications in diverse fields, such as electrochemistry, biochemistry, and…

Chemical Physics · Physics 2020-10-09 Bendix Petersen , Rafael Roa , Joachim Dzubiella , Matej Kanduc

A Gaussian approximation machine learning interatomic potential for platinum is presented. It has been trained on DFT data computed for bulk, surfaces and nanostructured platinum, in particular nanoparticles. Across the range of tested…

Materials Science · Physics 2023-04-06 Jan Kloppenburg , Livia B. Pártay , Hannes Jónsson , Miguel A. Caro

Bimetallic nanoparticles are often superior candidates for a wide range of technological and biomedical applications, thanks to their enhanced catalytic, optical, and magnetic properties, which are often better than their monometallic…

The high strength of structural aluminium alloys depends strongly on the controlled precipitation of specific intermetallic phases, whose identity and crystal structure can be difficult to predict. Here, we investigate the Al-Pt system,…

Materials Science · Physics 2023-06-14 Shenghan Su , Laure Bourgeois , Nikhil V. Medhekar

Stable and metastable metallic nanoparticles exhibit unique properties compared to the bulk, with potentially important applications for catalysis. This is in particular the case for the AgPt alloy that can exhibit the ordered L1$_1$…

Materials Science · Physics 2023-07-11 F. Ait Hellal , J. Puibasset , C. Andreazza-Vignolle , P. Andreazza

CoPt nanoparticle catalysts are integral to commercial fuel cells. Such systems are prohibitive to fully characterize with electronic structure calculations. Machine-learned potentials offer a scalable solution; however, such potentials are…

Materials Science · Physics 2024-09-12 Cheng Zeng , Sushree Jagriti Sahoo , Andrew J. Medford , Andrew A. Peterson

The structure of a polystyrene matrix filled with tightly cross-linked polystyrene nanoparticles, forming an athermal nanocomposite system, is investigated by means of a Monte Carlo sampling formalism. The polymer chains are represented as…

Soft Condensed Matter · Physics 2014-01-17 Georgios G. Vogiatzis , Evangelos Voyiatzis , Doros N. Theodorou
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