The trained DE-B68 function is plotted in Figure , and follows closely the potential energy surface of the more complex B68 function, despite the former's fewer tunable parameters. The full set of DE-B68 water model parameters is listed in Table . Figure shows the performance of the published TIP4P-FB and DE-TIP3P force fields, as well as the new DE-B68 water model, on a range of physical properties, compared to experiment. The DE-TIP3P was only fit to water density and oxygen-oxygen distances at a single temperature, and as such does not extrapolate well outside its training regime. On the other hand, the TIP4P-FB and DE-B68 models show similar, strong performance, within the error bars, across the set of properties studied here. Thus, with access to robust, automated parameter fitting, the DE potential shows promise as an alternative to LJ-based potentials in condensed phase modelling, at least in terms of providing viable water models.