Nanotech 2009 Vol. 3
Nanotech 2009 Vol. 3
Nanotechnology 2009: Biofuels, Renewable Energy, Coatings, Fluidics and Compact Modeling

Modeling and Simulation of Micro and Nano Systems Chapter 5

Transition from exo to endo Cu absorption in SinCu clusters: A Genetic Algorithms Density Functional Theory (DFT) Study

Authors: O.B. Oña, M.B. Ferraro, J.C. Facelli

Affilation: University of Utah, United States

Pages: 324 - 327

Keywords: DFT, genetic algorithms, Si-Cu clusters

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. Several authors have postulated that there is a transition between exo to endo absorption of Cu in SinCu clusters. Here we use our Parallel Genetic Algorithms as implemented in our MGAC software directly coupled with DFT energy calculations to show that the global search of SinCu cluster structures does not find endohedral clusters for n < 8 and finds them for n > 8. These results are in qualitative agreement with the existent experimental evidence. This research demonstrates that our parallel genetic algorithms approach is a reliable method to study the exo/endo transition in Si-transition metals clusters and that modeling techniques such as those used in this paper can be used successfully to predict the structures of critical building blocks for nano devices.

ISBN: 978-1-4398-1784-1
Pages: 694
Hardcopy: $179.95