Because surface tension data is widely available and can be easily measured, there exists an opportunity to create more accurate models of a wide range of liquids by using surface tension as a training physical property instead of heat of vaporization. Nielsen first demonstrated the use of surface tension as a fitting property to parameterize a coarse-grained mixture of hydrocarbons. Salas and Alejandré 23 developed a procedure that scales the charge and Lennard-Jones parameters to reproduce the dielectric constant, surface tension, and density in stepwise fashion, and applied the approach to build all-atom and coarse grained models for four molecular liquids including methanol and ionic liquids. Martínez-Jiménez and Saint-Martin applied a similar procedure to refine a coarse-grained potential for methanol that included an off-center charge site. As for water, many popular models such as TIP3P, SPC/E, and TIP4P-Ew 10 utilize surface tension as a validation test in the sense that models fitted to some properties should accurately predict other known properties.