  We present an investigation into data selection methods for the efficient
sampling of configuration space as applied to the development of inter-atomic
potentials for scale bridging in molecular dynamics (MD) simulations. This
investigation suggests that the most efficient sampling techniques are those
that incorporate information on an atomic level such as forces or atomic
energies. Finally, we generate an inter-atomic potential for the a sodium
chloride system using each data selection technique and find that the global
selection methods result in non-physical simulations.
