Paper Info
Title
Evolutionary algorithms applied to elucidate ionic water cluster structure formation
Abstract
In this work we present two evolutionary algorithms applied to look for positive water cluster structures. Both algorithms were applied in order to simulate the formation of the aggregates using the neutral clusters as a precursor. In other words, we are not looking for the global minima positive water cluster structures, but rather than trying to find the most stable structures formed from neutral stable clusters. To achieve our goal three steps were executed. In the first one we looked for the most stable structures for (H2O)n(n = 2 - 8), applying a genetic algorithm. In the second step we simulated that the found neutral clusters had lost one of their electrons, creating positive clusters (H2O)+/n. Finally, in the last step we simulated the creation of positive cluster by the aggregation of one positive ion, forming (H2O)nH2O+ clusters. in the latter stage we applied a quantum inspired evolutionary algorithm for numerical optimization (QIEA-R). Results of our search present innovative positive water structures and was able to compare two different ways for ionic cluster formation.
Year
DOI
Venue
2012
10.1145/2330163.2330322
GECCO
Keywords
Field
DocType
ionic water cluster structure,positive ion,cluster structure,stable structure,positive water cluster structure,global minima positive water,ionic cluster formation,evolutionary algorithm,neutral cluster,present innovative positive water,positive cluster,evolutionary algorithms,structure formation,genetic algorithm
Ionic bonding,Cluster (physics),Mathematical optimization,Evolutionary algorithm,Computer science,Maxima and minima,Artificial intelligence,Water cluster,Genetic algorithm,Ion,Machine learning,Structure formation
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Omar P. Vilela Neto15811.12
André Silva Pimentel200.34
Marco Aurélio Cavalcanti Pacheco314322.29
Ênio Frota da Silveira400.34