Modified genetic algorithms to model cluster structures in medium-size silicon clusters
Author
dc.contributor.author
Bazterra, Victor E.
Author
dc.contributor.author
Oña, Ofelia
Author
dc.contributor.author
Caputo, María C.
Author
dc.contributor.author
Ferraro, Marta B.
Author
dc.contributor.author
Fuentealba Rosas, Patricio
Author
dc.contributor.author
Facelli, Julio C.
Admission date
dc.date.accessioned
2018-12-20T14:05:48Z
Available date
dc.date.available
2018-12-20T14:05:48Z
Publication date
dc.date.issued
2004
Cita de ítem
dc.identifier.citation
Physical Review A - Atomic, Molecular, and Optical Physics, Volumen 69, Issue 5 B, 2018,
Identifier
dc.identifier.issn
10502947
Identifier
dc.identifier.other
10.1103/PhysRevA.69.053202
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/153766
Abstract
dc.description.abstract
Genetic algorithms (GA) were used to investigate the stable isomers of silicon clusters. In order to find the cluster structures, a semiempirical energy function was used by the GA that were further optimized using density-functional theory. A different structure with a significantly lower energy was found in the case of Si36. The need for global optimization schemes rather than local optimization was demonstrated by the results while searching for stable structures of medium-size silicon clusters.