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.
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Ferrando, R. (2013). Global Optimization of Free and Supported Clusters. In: Metal Clusters and Nanoalloys. Nanostructure Science and Technology. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3643-0_6
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