Surveying a potential energy surface by eigenvector-following - Applications to global optimisation and the structural transformations of clusters

We have developed a method to search potential energy surfaces which avoids some of the difficulties associated with trapping in local minima. Steps are directly taken between minima using eigenvector-following. Exploration of this space by low temperature Metropolis Monte Carlo is a useful global o...