Employment of artificial intelligence approach for optimizing the solubility of drug in the supercritical CO2 system

This paper investigates the solubility behavior of digitoxin in supercritical carbon dioxide (CO2) through a comprehensive analysis employing ensemble learning techniques and various regression models. The dataset consists of temperature and pressure as input variables, with solvent density and digi...

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Bibliographic Details

Published in:	Case Studies in Thermal Engineering
Main Authors:	Meixiuli Li, Wenyan Jiang, Shuang Zhao, Kai Huang, Dongxiu Liu
Format:	Article
Language:	English
Published:	Elsevier 2024-05-01
Subjects:	Drug solubility Bagging regression Polynomial regression Gradient-based optimization
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214157X24003575