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机构地区:[1]山东大学材料液态结构及其遗传性国家教育部重点实验室,济南250061
出 处:《物理化学学报》2003年第3期242-245,共4页Acta Physico-Chimica Sinica
基 金:国家自然科学基金(50071028);山东省自然科学基金(ZL2000F01)
摘 要:将遗传算法用于铝原子团簇的构型计算.运用这种方法,从任意构型开始,较好地计算了6、8、9、10个铝原子组成的原子团簇的能量最低时的构型,发现这四种铝原子团簇的能量最低构型分别取四种Bernal多面体排列.并对得到的四种构型用密度泛函方法(DFT)进行量子化学计算,结果表明,这类构型是势能面上的极小值点,可以稳定存在.A method based on a genetic algorithm was used to determine the lowest energy structure of an atomic cluster in an arbitrary model potential. The method operated on a population of candidate structures to produce new candidates with lower energies, and finally the lowest energy structure can be obtained. We applied the genetic algorithm to a tight-binding (TB) model potential for aluminum clusters. With this potential, the algorithm efficiently found the lowest energy structures of Al-6, Al-8, Al-9, Al-10 clusters starting from a random atomic collection of atoms. The lowest energy structures of Al-6, Al-8, Al-9, Al-10 were found to adopt four forms of Bernal polyhedron. The density function theory (DFT) calculation was also done and the result shows that the four geometries are the minimums on the potential surface.
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