Density and Refractive Index of Binary Ionic Liquid Mixtures with Common Cations/Anions, along with ANFIS Modelling

Ionic liquids have many interesting properties as they share the of molten salts well organic liquids, such low volatility, thermal stability, electrical conductivity, non-flammability, and much more. are known to be good solvents for polar nonpolar solutes. Combined with their special properties, ionic replacements conventional toxic volatile solvents. Each liquid has different than others. In order alter, tune, enhance sometimes, it is necessary mix achieve desired properties. However, using mixtures in chemical processes requires reliable estimations mixtures’ physical refractive index density. The used this work 1-butyl-3-methylimidazolium thiocyanate ([BMIM][SCN]), tetrafluoroborate ([BMIM][BF4]), 1-hexyl-3-methylimidazolium ([HMIM][BF4]), hexafluorophosphate ([HMIM][PF6]). These were supplied by Io-li-tec received. new measurements density taken pure reference. present work, densities indices four binary common cations and/or anions been measured at various compositions room conditions. accuracy empirical mixing rules calculation was also studied. It found that overall absolute average percentage deviation from ideal solution molar volume examined 0.78%. Furthermore, all accurate. most accurate formula Heller’s relation, an error 0.24%. artificial intelligence model, adaptive neuro-fuzzy inference system (ANFIS), developed predict studied published literature data. predictions model analyzed methods including both statistical graphical approaches. obtained results show accurately predicts R2, RMSE, AARD% values 0.968, 7.274, 0.368% 0.948, 7.32 × 10−3 0.319%, respectively, external validation dataset. Finally, a variance-based global sensitivity analysis formed extended Fourier amplitude test (EFAST). Our modelling showed ANFIS outperforms best available models predicting liquids.