The European Physical Journal D

, 69:244

A density functional study of small sized silver-doped silicon clusters: Ag2Sin (n = 1–13)

Regular Article

DOI: 10.1140/epjd/e2015-60404-1

Cite this article as:
Yang, C., Jia, S., Ma, M. et al. Eur. Phys. J. D (2015) 69: 244. doi:10.1140/epjd/e2015-60404-1


The structures and electronic properties for global minimum geometric structures of small-sized neutral Ag2Sin (n = 1–13) clusters have been investigated using the CALYPSO structure searching method coupled with density functional theory calculations. A great deal of low-energy geometric isomers are optimised at the B3LYP / GENECP theory level. The optimised structures suggest that the ground state Ag2Sin clusters are visibly distorted compared with the corresponding pure silicon clusters and favor a three-dimensional configuration. Starting with Ag2Si12, one Ag atom is fully encapsulated by the Si outer cages. Based on the averaged binding energy, fragmentation energy, second-order energy difference and HOMO-LUMO energy gap, it is seen that Ag2Si2 and Ag2Si5 are tested to be the most stable clusters, and the chemical stabilities of pure Sin+2 clusters can be reduced to some extent after doping two Ag atoms. Additionally, natural population and natural electronic configuration are discussed and the results reveal that charges transfer from the Ag atoms to the silicon frames and the spd hybridisations are present in all Ag2Sin clusters. Lastly, the results of natural bonds show that the Ag-Si bond in Ag2Sin clusters is dominated by small ionic character.

Graphical abstract


Clusters and Nanostructures 

Supplementary material

10053_2015_1324_MOESM1_ESM.pdf (4.5 mb)
Supplementary material, approximately 4.54 MB.

Copyright information

© EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department of Computer Science and Information TechnologyNanyang Normal UniversityNanyangP.R. China
  2. 2.Department of Physics and Electronic EngineeringNanyang Normal UniversityNanyangP.R. China

Personalised recommendations