Study of the Ground-State Geometry of Silicon Clusters Using Artificial Neural Networks

Theoretical determination of the ground-state geometry of Si clusters is a difficult task. As the number of local minima grows exponentially with the number of atoms, to find the global minimum is a real challenge. One may start the search procedure from a random distribution of atoms but it is prob...

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Bibliographic Details
Main Authors: M.R. Lemes, L.R. Marim, A. Dal Pino Jr.
Format: Article
Language:English
Published: Associação Brasileira de Metalurgia e Materiais (ABM); Associação Brasileira de Cerâmica (ABC); Associação Brasileira de Polímeros (ABPol) 2002-09-01
Series:Materials Research
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392002000300011