Existing computational methods, such as the COnductor like Screening MOdel for Real Solvents (COSMO-RS) , Group Contribution (GC), and Molecular Dynamics (MD) have been employed to predict toluene/water log P of neutral species . Recently, the SAMPL9 blind challenge allowed different groups to compare such predictive methods against a set of 16 drug-like molecules for predicting toluene/water log P . We also participated in the challenge using the COSMO-RS, a semi-empirical model that is partially physics-based and allows application to a variety of systems. Among 18 contributions, we ranked second with an Root-Mean-Square Error (RMSE) of 1.24 log P units .