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Nanoalloys pp 259-286 | Cite as

Computational Methods for Predicting the Structures of Nanoalloys

Chapter
Part of the Engineering Materials book series (ENG.MAT.)

Abstract

Determining the geometric structure and chemical ordering of alloy nanoparticles is a crucial step for understanding and tailoring their properties. Here we review the methods for exploring the energy landscape of nanoalloys in order to find the most stable structural motifs and chemical ordering patterns. These methods are known under the name of global optimization, and range from simulated annealing, to genetic algorithms and basin hopping algorithms. The thermodynamics of the melting transition and kinetic effects in the growth of gas-phase nanoalloys are also discussed. For all topics, specific examples are presented.

Keywords

Global Optimization Potential Energy Surface Global Optimization Algorithm External Shell Density Functional Theory Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2012

Authors and Affiliations

  1. 1.Dipartimento di Fisica dell’Università di GenovaGenovaItaly

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