A large subset of the condensed phase physical property measurements of binary mixtures from the NIST ThermoML Archive was used to refit the LJ parameters. Our choice of mixture data was motivated by a previous pilot study that demonstrated advantages to training LJ parameters against condensed phase mixtures as opposed to pure liquid properties. Mixture data readily captures interactions between unlike molecules, allows for the selection of data at multiple concentrations, and is more readily available in modern, validated databases such as the NIST ThermoML Archive. The pilot study demonstrated that LJ parameters refitted against mixture densities and enthalpies of mixing better capture interactions between both like and unlike molecules than those refitted against pure liquid densities and enthalpies of vaporization. For the full refit of the Sage force field, a total of 30 LJ parameters (𝑅 𝑚𝑖𝑛∕2 , 𝜖 for 15 LJ types) representing carbon, hydrogen, oxygen, nitrogen, chlorine and bromine environments were included.