2008
DOI: 10.1021/jp711918t
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On the Use of Different Potential Energy Functions in Rare-Gas Cluster Optimization by Genetic Algorithms: Application to Argon Clusters

Abstract: We study the effect of the potential energy function on the global minimum structures of argon clusters arising in the optimization performed by genetic algorithms (GAs). We propose a robust and efficient GA which allows for the calculation of all of the putative global minima of Ar N (N ) 3-78) clusters modeled with four different potentials. Both energetic and structural properties of such minima are compared among each other and with those previously obtained for the Lennard-Jones function. In addition, the… Show more

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Cited by 23 publications
(41 citation statements)
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“…This work follows and takes advantage of the information acquired on a previous analysis, 14 resorting to the same potential for argon clusters. This consists of a sum of two-body Rydberg-London functions:…”
Section: Computational Proceduresmentioning
confidence: 99%
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“…This work follows and takes advantage of the information acquired on a previous analysis, 14 resorting to the same potential for argon clusters. This consists of a sum of two-body Rydberg-London functions:…”
Section: Computational Proceduresmentioning
confidence: 99%
“…Two BH-like algorithms have been recently proposed by Rossi and Ferrando 10 to deal with the global optimization of nanoclusters. Also, one of the present authors has been involved in the development of a new GA, 9 which was successful in discovering global minima of short-range Morse 9, 11-13 and argon 14 clusters; other applications of GAs are reviewed in ref. 15.…”
Section: Introductionmentioning
confidence: 99%
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