Transition from exo to endo Cu absorption in SinCu clusters: A genetic algorithms Density Functional Theory (DFT) study

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The characterization and prediction of the structures of metal silicon clusters is important for nanotechnology research because these clusters can be used as building blocks for nano devices, integrated circuits and solar cells. Several authors [1-3] have postulated that there is a transition betwe...

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Detalles Bibliográficos
Autores principales: Oña, O.B., Ferraro, M.B., Facelli, J.C.
Formato: CONF
Materias:
Copper-silicon clusters
Genetic algorithms
Global optimization
Building blockes
Cluster structure
Endohedral clusters
Energy calculation
Global search
Metal silicon
Nano device
Nanotechnology research
Parallel genetic algorithms
Silicon clusters
Absorption
Biofuels
Coatings
Density functional theory
Fluidics
Nanotechnology
Optimization
Renewable energy resources
Silicon
Clustering algorithms
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_97814398_v3_n_p324_Ona
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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