Practically, the solvent and electrolytes are represented by sites with physical properties such as charges, positions, and a set of Lennard-Jones parameters. Thermodynamic properties are then integrated from the computed correlation functions. For more information, the reader is redirected to the original paper from Kovalenko and Hirata. The RISM model can be coupled with the Effective Screening Medium (ESM) technique which makes use of Green's functions to impose various boundary conditions on the DFT unit cell. By imposing open boundary conditions on one of the spatial dimensions, ESM is able to yield a non-repeated slab approach. Thus, within ESM-RISM, the electrostatic potential in the solvent region can be defined as an origin for energy levels. Additionally, the charge in the unit cell is screened by the RISM solvation model at the interface. The ESM-RISM scheme can model an isolated surface accounting for effects of solvation, pH, temperature and possibly the electrode potential along with structural information about the solvent. This study focuses on computing relevant properties of the Pt(111) interface such as solvation energies, workfunctions, capacitances and solvent distributions. We also investigate the behavior of our models for catalytic reactions by using the ORR as a case study. First, computational parameters used for ESM-RISM will be explained, which includes parameters for both the DFT solute atoms and the solvent/electrolytes RISM sites. Two water parametrizations will be used for the RISM model; the 3-site SPC model and the 5-site TIP5P model, both of which are well-known water models. The latter additionally includes negatively charged sites to account for lone-pairs. The same set of calculations will also be carried out using the Charge-Asymmetric Nonlocally Determined Local-Electric (CANDLE) solvation model. The model is a more computationally feasible version of the non-local Spherically Averaged Liquid Susceptibility Ansatz (SaLSA) model. CANDLE stands out by its ability to treat both anions and cations accurately without the need for specific fittings. This is explained by the non-local dependence of the cavity on the solute electric field which enables the model to capture charge asymmetry. Additionally, this model belongs to the large ensemble of available and well-understood cavity-based implicit solvation models. For these reasons, it was chosen as a basis for comparison with RISM in this study, aiming to compare RISM with a model whose behavior is better understood.