Author

Ahmed B. Khoshaim

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Open access Aug 2026

Utilization of machine learning models and grey wolf optimization method in estimation of pharmaceutical solubility in supercritical CO2

Accurate prediction of solubility and solvent density in supercritical fluids is essential for the efficient design and optimization of pharmaceutical and chemical processes. In this study, three machine learning regression models—Elastic Net Regression (ENR), Orthogonal Matching Pursuit (OMP), and Gaussian Process Reg...

N. Abu-Hamdeh, A. Aljinaidi, Ahmed B. Khoshaim · Frontiers in Chemistry · 0 citations

Open access Sep 2026

Machine learning-based modeling and analysis of solubility behavior in supercritical CO₂ systems under different operating conditions

This study explores the analysis of Nystatin solubility and the density of supercritical carbon dioxide (SC-CO2) in supercritical processing. A total of 28 experimental observations were initially collected, which were randomly divided into training (80%) and test (20%) subsets for model development and evaluation, res...

Ahmed B. Khoshaim · Frontiers in Medicine · 0 citations