Global optimization of atomic cluster structures using parallel genetic algorithms
The study of the structure and physical properties of atomic clusters is an extremely active area of research due to their importance, both in fundamental science and in applied technology. For medium size atomic clusters most of the structures reported today have been obtained by local optimization...
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paper:paper_02729172_v894_n_p277_Ona2023-06-08T15:25:27Z Global optimization of atomic cluster structures using parallel genetic algorithms Oña, Ofelia Beatriz Bazterra, Víctor Eduardo Caputo, María Cristina Ferraro, Marta Beatriz Facelli, Julio César Atomic clusters Cluster's energetics Local optimizations Approximation theory Atoms Genetic algorithms Global optimization Optimization Probability density function Crystal structure The study of the structure and physical properties of atomic clusters is an extremely active area of research due to their importance, both in fundamental science and in applied technology. For medium size atomic clusters most of the structures reported today have been obtained by local optimizations of plausible structures using DFT (Density Functional Theory) methods and/or by global optimizations in which much more approximate methods are used to calculate the cluster's energetics. Our previous work shows that these approaches can not be reliably used to study atomic cluster structures and that approaches based on global optimization schemes are needed. In this paper, we report the implementation and application of a parallel Genetic Algorithm (GA) to predict the structure of medium size atomic clusters. © 2006 Materials Research Society. Fil:Oña, O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Bazterra, V.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Caputo, M.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Ferraro, M.B. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Facelli, J.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2006 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02729172_v894_n_p277_Ona http://hdl.handle.net/20.500.12110/paper_02729172_v894_n_p277_Ona |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Atomic clusters Cluster's energetics Local optimizations Approximation theory Atoms Genetic algorithms Global optimization Optimization Probability density function Crystal structure |
spellingShingle |
Atomic clusters Cluster's energetics Local optimizations Approximation theory Atoms Genetic algorithms Global optimization Optimization Probability density function Crystal structure Oña, Ofelia Beatriz Bazterra, Víctor Eduardo Caputo, María Cristina Ferraro, Marta Beatriz Facelli, Julio César Global optimization of atomic cluster structures using parallel genetic algorithms |
topic_facet |
Atomic clusters Cluster's energetics Local optimizations Approximation theory Atoms Genetic algorithms Global optimization Optimization Probability density function Crystal structure |
description |
The study of the structure and physical properties of atomic clusters is an extremely active area of research due to their importance, both in fundamental science and in applied technology. For medium size atomic clusters most of the structures reported today have been obtained by local optimizations of plausible structures using DFT (Density Functional Theory) methods and/or by global optimizations in which much more approximate methods are used to calculate the cluster's energetics. Our previous work shows that these approaches can not be reliably used to study atomic cluster structures and that approaches based on global optimization schemes are needed. In this paper, we report the implementation and application of a parallel Genetic Algorithm (GA) to predict the structure of medium size atomic clusters. © 2006 Materials Research Society. |
author |
Oña, Ofelia Beatriz Bazterra, Víctor Eduardo Caputo, María Cristina Ferraro, Marta Beatriz Facelli, Julio César |
author_facet |
Oña, Ofelia Beatriz Bazterra, Víctor Eduardo Caputo, María Cristina Ferraro, Marta Beatriz Facelli, Julio César |
author_sort |
Oña, Ofelia Beatriz |
title |
Global optimization of atomic cluster structures using parallel genetic algorithms |
title_short |
Global optimization of atomic cluster structures using parallel genetic algorithms |
title_full |
Global optimization of atomic cluster structures using parallel genetic algorithms |
title_fullStr |
Global optimization of atomic cluster structures using parallel genetic algorithms |
title_full_unstemmed |
Global optimization of atomic cluster structures using parallel genetic algorithms |
title_sort |
global optimization of atomic cluster structures using parallel genetic algorithms |
publishDate |
2006 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02729172_v894_n_p277_Ona http://hdl.handle.net/20.500.12110/paper_02729172_v894_n_p277_Ona |
work_keys_str_mv |
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1768543419470184448 |