“…As experiments may be time-consuming and costly, one proper tool to evaluate properties of different compounds in mixtures is predictive thermodynamic modeling. When considering IL-based systems, their behavior has been accurately modeled using equations of state (EoS) [12][13][14][15][16][17][18][19][20], such as the Perturbed Chain based on Statistical Associating Fluid Theory (PC-SAFT) and Cubic Plus Association (CPA), or excess Gibbs free energy (G E ) models [21][22][23][24][25][26][27][28][29][30][31][32][33][34], such as the Non-Random Two-Liquid (NRTL) [31,[35][36][37][38], UNIversal QUAsi-Chemical (UNIQUAC) and UNIversal Function group Activity Coefficient (UNIFAC) [24,26,[39][40][41][42][43][44] or even the predictive Conductor-like Screening Model for Realistic Solvents (COSMO-RS) [29][30][31][32][33][45][46][47]…”