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Structure and structural evolution of Agn (n = 3 - 22) clusters using a genetic algorithm and density functional theory method

  • Dalian University of Technology

Research output: Contribution to journalArticlepeer-review

118 Scopus citations

Abstract

Using a genetic algorithm followed by local optimization with density functional theory, the lowest-energy structures of Agn clusters in a size range of n = 3 - 22 were studied. The Agn (n = 9 - 16) clusters prefer compact structures of flat shape, while the Agn (n = 19, 21, 22) clusters adopt amorphous packing based on a 13-atom icosahedral core. For Ag16, two competitive candidates for the lowest-energy structures, namely a hollow-cage structure and close-packed structures of flat shape, were found. Two competing candidates were found for Ag17 and Ag18: hollow-cage structures versus icosahedron-based compact structures. The lowest-energy structure of Ag20 is a highly symmetric tetrahedron with Td symmetry. These results are significantly different from those predicted in earlier works using empirical methods. The ionization potentials and electron affinities for the lowest-energy structures of Agn (n = 3 - 22) clusters were computed and compared with experimental values.

Original languageEnglish
Pages (from-to)174-179
Number of pages6
JournalSolid State Communications
Volume144
Issue number3-4
DOIs
StatePublished - Oct 2007
Externally publishedYes

Keywords

  • A. Metals
  • A. Nanostructures
  • B. Electronic states

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