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Deferiprone Solubility: From Thermodynamic Frameworks to Machine Learning Approaches

delete2026-04-27
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PRE
AI
S
Sina Pakkhesal
D
Dmitriy M. Makarov
J
Jonas Habicht
G
Gabriele Sadowski
A
Abolghasem Jouyban *
DOI:10.1016/j.fluid.2026.114752delete
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Abstract

Abstract

En 中文
• Modelling the solubility of deferiprone at various temperatures • Developing general models for solubility of deferiprone in solvent systems • Comparison of accuracy of various methods to simulate the data
Keywords:
Solubility modeling
Deferiprone
Thermodynamic frameworks
Machine learning
Solvent systems

Journal

Fluid Phase Equilibria cover
Fluid Phase Equilibria
IF:
2.7
Papers:
339
Citations:
1.5W

Organization

T
Tabriz University of Medical Sciences
Scholars:
1.3K
Papers: 576
Citations: 10.0K
T
TU Dortmund
Scholars:
44
Papers: 24
Citations: 1
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