Scientific reports
Solubility of Glibenclamide in supercritical solvent versus pressure and temperature via development of machine learning and rain optimization algorithm.
Hadil Faris Alotaibi, Chou-Yi Hsu, Fadhil Faez Sead, Anupam Yadav, S Renuka Jyothi, Swati Mishra, Bilakshan Purohit, Anorgul Ashirova, Temur Eshchanov, Ashish Singh Chauhan
Published: 202610.1038/s41598-025-34040-0
Abstract
This study develops machine-learning models for predicting the solubility of Glibenclamide and the density of supercritical CO₂ under varying temperature and pressure conditions. Three regression techniques-Polynomial Kernel Ridge Regression (PKR), W…
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