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...