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Thesis Name: Global geometry optimization of Na+(H2O)m clusters
Usage: Global geometry optimization
Keyword: 123
Remarks: A hybrid algorithm, based on genetic algorithm (GA), fast simulated annealing (FSA) and conjugated gradient algorithm (CGA) was proposed and used to optimize the structure of Na+(H2O)m (m=1-11) clusters. The empirical potential energy functions employed here included SPC, TIP, TIP3P, TIP4P and TIPS2. The optimized structure of Na+(H2O)m clusters by using these different potential energy functions were found to share the same configurations.
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