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    Prediction of Density, Surface Tension and Viscosity of Ionic Liquids using Artificial Intelligence

    , M.Sc. Thesis Sharif University of Technology Torrik, Abdolhalim (Author) ; Rahman Setayesh, Shahrbanoo (Supervisor)
    Abstract
    Ionic liquids due to their unique physical and chemical properties are widely used in various fields of chemistry and chemical engineering. Determining properties of ionic liquids can be difficult, time consuming or even impossible. In first step of this study the IL thermo database was chosen as source of experimental data of ionic liquids. Viscosity, density, surface tension and melting temperature of ionic liquids based on bis(trifluoromethylsulfonyl)imide anion with cations imidazolium, pyridinium, pyrrolidinium, piperidinium and ammonium were modeled using QSPR approach. Linear and nonlinear models were built by means of multiple linear regression (MLR), multilayer perceptron neural...