One possible solution for speeding up the determination is the use of parameterized molecular mechanics (MM) based force fields that treat atoms and bond as classical objects and use Newtonian mechanics to estimate the energy and forces of the system. MM based force field calculations are much faster than quantum chemical ones by a large order of magnitude. While the MM force field approaches have successfully been employed for simulations and analysis of organic molecules, their applicability is limited in nanoclusters due to the presence of inherently non-classical bonds and extensive electron delocalization in nanoclusters. In this context, the machine learning based potentials instead have been propositioned as an alternative that could be more successfully applied to nanoclusters to accelerate the structural search.