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...
Main Authors: | , , |
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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
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Series: | Materials Research |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392002000300011 |