Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  present two evolutionary algorithms applied to look for positive water cluster structures. Both algorithms re applied in order to simulate the formation of the aggregates using the neutral clusters as a precursor. In other words,  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 re executed. In the first one  looked for the most stable structures for ( H  2  O )  n  ( n  = 2 - 8), applying a genetic algorithm. In the second step  simulated that the found neutral clusters had lost one of their electrons, creating positive clusters ( H  2  O )+/ n . Finally, in the last step  simulated the creation of positive cluster by the aggregation of one positive ion, forming ( H  2  O )  n   H  2  O + clusters. in the latter stage  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.
['Omar P. Vilela Neto', 'Andre Silva Pimentel', 'Marco Aurélio Cavalcanti Pacheco', 'Enio Frota da Silveira']
I am writing a research paper on a idea Evolutionary algorithms applied to elucidate ionic water cluster structure formation
[{"from": "human", "value": "I am writing a research paper on a idea Evolutionary algorithms applied to elucidate ionic water cluster structure formation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this work  present two evolutionary algorithms applied to look for positive water cluster structures. Both algorithms re applied in order to simulate the formation of the aggregates using the neutral clusters as a precursor. In other words,  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 re executed. In the first one  looked for the most stable structures for ( H  2  O )  n  ( n  = 2 - 8), applying a genetic algorithm. In the second step  simulated that the found neutral clusters had lost one of their electrons, creating positive clusters ( H  2  O )+/ n . Finally, in the last step  simulated the creation of positive cluster by the aggregation of one positive ion, forming ( H  2  O )  n   H  2  O + clusters. in the latter stage  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."}]