Application of genetic algorithms to hydrogenated silicon clusters

[摘要] We discuss the application of biologically inspired genetic algorithms to determine the ground state structures of a number of Siâ€�?�H clusters. The total energy of a given configuration of a cluster has been obtained by using a non-orthogonal tight-binding model and the energy minimization has been carried out by using genetic algorithms and their recent variant differential evolution. Our results for ground state structures and cohesive energies for Siâ€�?�H clusters are in good agreement with the earlier work conducted using the simulated annealing technique. We find that the results obtained by genetic algorithms turn out to be comparable and often better than the results obtained by the simulated annealing technique.

[学科分类] 材料工程

[关键词] Hydrogenated silicon;genetic algorithms;differential evolution;ab initio calculation.