Optimization of drug solubility inside the supercritical CO 2 system via numerical simulation based on artificial intelligence approach

In this research paper, we explored the predictive capabilities of three different models of Polynomial Regression (PR), Extreme Gradient Boosting (XGB), and LASSO to estimate the density of supercritical carbon dioxide (SC-CO ) and the solubility of niflumic acid as functions of the input variables...

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Veröffentlicht in:	Scientific reports 2024-10, Vol.14 (1), p.22779
Hauptverfasser:	Li, Meixiuli, Jiang, Wenyan, Zhao, Shuang, Huang, Kai, Liu, Dongxiu
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Carbon Dioxide - chemistry Computer Simulation Niflumic Acid - chemistry Solubility Solvents - chemistry Temperature
Online-Zugang:	Volltext
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