Widely known as “green solvents,” ionic liquids (ILs) and deep eutectic solvents (DESs)
have been used as substitutes for traditional organic solvents in separation science. To …

To our knowledge, this work illustrates for the first time the ability of artificial neural network
(ANN) to predict activity coefficients at infinite dilution for organic solutes in ionic liquids (ILs) …

The aim of the paper is to address all the disadvantages of currently available models for
calculating infinite dilution activity coefficients (γ∞) of molecular solutes in ionic liquids …

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 …

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 …

Abstract Deep Eutectic Solvents (DESs) are a recently introduced class of green solvents
with unique and favorable characteristics. Despite their recent debut, the scientific …

This work deals with the equation of state (EOS) and artificial neural network (ANN)
modeling prediction of the volumetric properties of several pure and mixtures of amino acid …

Accurate prediction of the physical properties of mixed systems is essential for efficient
industrial design and process optimization. This study explores the use of a hybrid approach …

Deep eutectic solvents (DESs) are gaining recognition as environmentally friendly solvent
alternatives for diverse chemical processes. Yet, designing DESs tailored to specific …

The accurate prediction of physical properties is critical for the successful application of both
conventional and novel chemicals across various industries. This work focuses on predictive …