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 …

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 …

Physicochemical properties of ionic liquids (ILs) are essential in solvent screening and
process design. However, due to their vast diversity, acquiring IL properties through …

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 …

This research article presents a thorough and all-encompassing examination of predictive
models utilized in the estimation of viscosity for ionic liquid solutions. The study focuses on …

Predicting the viscosity of ionic liquids (ILs)-water mixtures precisely is considerable for
diversity applications in chemical industries. In this work, interpretable machine learning …

Ionic liquids (ILs) are widely under research and being more and more used in many
industrial fields due to their unique properties. The knowledge of physicochemical properties …

Viscosity is one of the most important fundamental properties of fluids. However, accurate
acquisition of viscosity for ionic liquids (ILs) remains a critical challenge. In this study, an …

Ionic liquids (ILs) are a novel group of green solvents with great promise for various
industrial applications, including carbon capture and lignocellulosic biomass deconstruction …

This paper delves into the practical application of K-Nearest Neighbors (KNN), Kernel Ridge
Regression (KRR), and Lasso Regression for the prediction of viscosity of ionic liquids in a …