The infinite dilution activity coefficient (γ∞) is a crucial thermodynamic property that provides
a measure of the affinity between the solute and the solvent. In this work, three deep …

The activity coefficient at infinite dilution of water in ionic liquids is a thermodynamic property
of a paramount importance in separation processes. However, accurate modeling of this …

In this study, feasibility of a back-propagated artificial neural network to correlate the binary
density of ionic liquids (ILs) mixtures containing water as the common solvent has been …

In this work, the selectivity coefficients of ionic liquids in liquid-liquid systems were correlated
and predicted by the NRTL, UNIQUAC, and Wilson-NRF Gibbs free energy models and also …

In past decades, nitrous oxide (N 2 O), a strong greenhouse gas, has become a serious
transdisciplinary issue. As a result, removing N 2 O utilizing strong green solvents like ionic …

This study highlights the application of artificial neural network for prediction of density
values in a binary mixture of water and ionic liquids at different temperature for different …

Ionic liquids have a great potential in capture and separation of carbon dioxide (CO2), and
the solubility of CO2 in ionic liquids is one of key data for engineering applications. In this …

Abstract Properties of ionic liquids (ILs) play a crucial role in solvent design, process design,
and process simulation for their various industrial applications. However, ILs come in a wide …

In this study, the liquid–liquid phase behavior of aromatic compound+ aliphatic compound+
ionic liquid (IL) ternary systems was estimated by using two artificial neural networks (ANN) …

The solubility of different gases such as O 2 in different liquids and finding the proper solvent
for the gas separation process is one of the important concerns that has received much …