In this study, we developed two machine learning models:-support vector machine (SVM)
and artificial neural network (ANN)-to correlate ionic conductivity of pure ionic liquids based …

MOSCED (modified separation of cohesive energy density) is a solubility parameter method
that offers an improved treatment of association interactions. Solubility parameter methods …

Accurate prediction of infinite dilution activity coefficient (γ∞) is essential for the calculation
of phase equilibria, solubility, and related properties in molecular thermodynamics. Here, we …

Methods to predict the equilibrium solubility of nonelectrolyte solids are indispensable for
early-stage process development, design, and feasibility studies. Conventional analytic …

For a binary mixture without azeotrope, its boiling temperature at quasi-infinite dilution T b
QID< T b, H (the higher boiling temperature of the two components), and T b QID> T b, L (the …

Tools to predict vapor–liquid phase equilibria are indispensable for the conceptualization
and design of separation processes. Modified separation of cohesive energy density …

Ionic liquids are classes of salts that are often found in a liquid state composed entirely of
ions. They have gained widespread interest in the research community because of several …

The measurement of olyzed VLE data of some binary system containing a deliquescent
constituent is often difficult and time consuming. The MOSCED model was employed to …