Global geometry optimization of clusters
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Bernd Hartke
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Article
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1995
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Elsevier Science
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English
โ 595 KB
A new strategy for global geometry optimization of clusters is presented. Important features are a restriction of search space to favorable nearest-neighbor distance ranges, a suitable cluster growth representation with diminished correlations, and easy transferability of the results to larger clust