Abstract Machine learning's prowess in extracting insights from data has significantly
advanced fluid rheological behavior prediction. This machine-learning-based approach …

Recleaning phosphate tailings using the low-cost enhanced gravity separation method is
beneficial for maximizing the recovery of phosphorus element. A machine learning …

Surface tension (SFT) can shape the behavior of liquids in industrial chemical processes,
influencing variables such as flow rate and separation efficiency. This property is commonly …

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 …

This study investigates the efficacy of feedforward neural network and XGBoost models in
screening ionic liquid solvents for CO2 capture. Both models were integrated with either …

This review explores the application of machine learning in predicting and optimizing the
key physicochemical properties of deep eutectic solvents, including CO2 solubility, density …

In this study, different artificial intelligence (AI) techniques are employed to determine the
water activity of ionic liquid-based ternary systems as a function of pressure, temperature …

Surface tension is an important thermodynamic property of fluids that impact several
processes in the engineering. Accurate estimations of this parameter are required to …

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 …

Ionic liquids can be recognized as green adsorbent for water purification due to their
superior characteristics compared to conventional organic solvents. However, their …