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Cited by 231

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Search for the Lin0/+1/-1 (n = 5−7) Lowest-Energy Structures Using the ab Initio Gradient Embedded Genetic Algorithm (GEGA). Elucidation of the Chemical Bonding in the Lithium Clusters

Alexandrova, Anastassia N., Boldyrev, Alexander I.·2005·Journal of Chemical Theory and Computation

Abstract

We report the study of small lithium clusters Lin(0/+1/)(-)(1) (n = 5-7), performed via the novel Gradient Embedded Genetic Algorithm (GEGA) technique and molecular orbital analysis. GEGA was developed for searching of the lowest-energy structures of clusters. Results of our search, obtained using this program, have been compared with the previous ab initio calculations, and the efficiency of the developed GEGA method has thus been confirmed. The molecular orbital analysis of the found Lin(0/+1/)(-)(1) (n = 5-7) clusters showed the presence of multiple (σ and π) aromatic character in their chemical bonding, which governs their preferable shapes and special stability.

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Metadata

Authors
Alexandrova, A. N., & Boldyrev, A. I.
Venue
Journal of Chemical Theory and Computation
Published
2005-06-11
Volume
1
Issue
4
Pages
566-580
ISSN
  • 1549-9618 (ISSN-L)
  • 1549-9626
OpenAlex
W2063060768
Cited by
231
References
3
FWCI
3.28
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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