Data-driven models and comparison for correlation of pharmaceutical solubility in supercritical solvent based on pressure and temperature as inputs
Data-driven models were employed for the solubility correlation, while the focus was on modeling the solubility of raloxifene drug and density of carbon dioxide based on temperature (T) and pressure (P) inputs. Three Machine Learning models, namely Multilayer Perceptron (MLP), Bayesian Ridge Regress...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-09-01
|
| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X23005427 |