Representation of Ionic Liquid Viscosity-Temperature Data by Generalized Correlations and an Artificial Neural Network (Ann) Model

Hybrid Ionic Liquid Propylene Carbonate-Based Electrolytes for Aluminum–Air Batteries

“…The high viscosity of the ionic liquid prevents him from reaching high ionic conductivity values. 2,4 The viscosity in RTILs is mainly dependent on the combination of hydrogen bonds and van der Waals forces. The variation of the viscosity with temperature indicates that the interaction forces between the cation and anion present in the ionic liquid are affected by the temperature.…”

“…1 The wide range of anion and cation families available for the synthesis of the IL determine the various properties of the molten salt and enable the formulation of an enormous variety of RTILs. 2 Over the past years, the research focused on the RTILs have gained more and more attention, mainly thanks to their unique characteristics, which includes tunable properties, such as high ionic conductivity, low volatility (and thus, reduced flammability), and high electrochemical and chemical stabilities. These properties position the RTILs as promising candidates to serve in different applications ranging from the food industry to green chemistry, catalysis, phase separations, electrochemistry, and nanotechnologies.…”

“…Room temperature ionic liquids (RTILs) are molten salts with a melting temperature below 400 K that are composed of a cation, which is a bulk of organic structure with low symmetry and an organic or inorganic anion . The wide range of anion and cation families available for the synthesis of the IL determine the various properties of the molten salt and enable the formulation of an enormous variety of RTILs . Over the past years, the research focused on the RTILs have gained more and more attention, mainly thanks to their unique characteristics, which includes tunable properties, such as high ionic conductivity, low volatility (and thus, reduced flammability), and high electrochemical and chemical stabilities.…”

A review on machine learning algorithms for the ionic liquid chemical space

“…al. 96 (2013) followed another path, although also using an ANN; they didn't include any structural features as input data, instead they only provided as input the logarithm of viscosity at 323.15 K and the inverse of the reduced reference temperature. They compared their results to commonly used empirical viscosity equations (such as Vogel-Tamann-Fulcher and linear Arrhenius model) and concluded that the ANN offers the advantages of showing lesser overall residual errors and that they don't seem problematic in any specic ion family.…”

Πειραματική Μελέτη Και Προσομοίωση Μιγμάτων Που Περιέχουν Τρίτης Γενιάς Ιοντικά Υγρά

“…Η μελέτη του ιξώδους από θεωρητικής σκοπιάς περιλαμβάνει τη χρήση μοντέλων πρόβλεψης όπως QSPR μοντέλα 29,[77][78][79][80][81] , μοντέλα συνεισφοράς ομάδων [82][83][84] , τεχνητά νευρωνικά δίκτυα 85,86 .…”