Abstract
We present a stochastic optimisation procedure using simulated annealing for studying conformational changes in clusters. The pathways for transformation between stable geometries through a transition state is studied for cluster sizes n=3−12. The work uses an objective function which exploits the sign of the eigenvalues of the Hessian matrix to locate transition states. Once it is located for a specific size it is examined if one minimum geometry can be converted to another through the transition state. The potential energy surface for the system is searched using the stochastic optimisation procedure of simulated annealing. The ruggedness of the surface makes the choice of the optimiser an ideal one. To complete the results the progress of the pathway is depicted as the function of the path coordinates at intermediate geometries.
Disclosure statement
No potential conflict of interest was reported by the authors.