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Global Optimization of Free and Supported Clusters

Chapter
Part of the Nanostructure Science and Technology book series (NST)

Abstract

The problem of searching for the lowest-energy structures of nanoparticles is considered. This problem is known as global optimization. After explaining some general features of the potential energy surface (PES) of nanoparticles, we focus on the Basin-hopping (BH) algorithm and its variants. Applications to specific systems are discussed, both for free and supported nanoparticles.

Keywords

Global Optimization Potential Energy Surface Global Optimization Search Global Optimization Result Energy Landscape Paving 
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 Science+Business Media New York 2013

Authors and Affiliations

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

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