Modified genetic algorithms to model cluster structures in medium-size silicon clusters
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.
|Título según WOS:||Modified genetic algorithms to model cluster structures in medium-size silicon clusters|
|Título según SCOPUS:||Modified genetic algorithms to model cluster structures in medium-size silicon clusters|
|Título de la Revista:||PHYSICAL REVIEW A|
|Editorial:||AMER PHYSICAL SOC|
|Fecha de publicación:||2004|
|Página de inicio:||53202|