A recent method developed by Pomogaeva and Chipman , known as the composite method for implicit representation of solvent (CMIRS), uses six parameters to describe interactions between solute and solvent including dispersion, exchange, hydrogen bonding, and long range electrostatic interactions. Because of low level of parameterization, this model is believed to capture a higher level of physical truth than other highly parameterized solvation models . For hydration energy, the mean unsigned error (MUE) may be as low as 0.8 kcal/mol for neutral solutes and 2.4 kcal/mol for ionic solutes, and has been parametrized for the B3LYP and Hartree-Fock quantum chemistry methods . With regards to solvation kinetics, Silva et al. parametrized the CMIRS model for methanol in order to predict activation free energy barriers for S N 2 and S N Ar reactions . Both CMIRS and SMD were compared to experimental data of solvation free energies and while they perform similarly for neutral species, the MUE for CMIRS is lower in the case of anion and cation solutes. For free energy barriers, CMIRS performs similarly to COSMO-RS while SMD is slightly worse .