Pattern recognition study on the formation of long-lived trajectory

48 potential energy surfaces (PES) based on LEPS model have been designed, which are parameterized with 6 geometry characters and 240 samples are calc ulated by QCT method (1 000 trajectories in each sample), according to the different reaction conditions, which had been parameterized with 7 dynamica l characters. Then, the methodology of pattern recognition is used to analy ze the relationship between the observables and the PESs and the reaction c onditions. After this analysis, some known rules and new informations about the formation of long - lived trajectories are obtained. By using the disc riminate equation obtained through pattern recognition, the behavior of unk nown samples can be predicted.