Predicting the Mixing Behavior of Aqueous Solutions Using a Machine Learning Framework

Engineering & Materials Science

• Machine learning 53%
• Classifiers 51%
• Random forests 42%
• Solubility 35%
• Phase boundaries 11%
• Physicochemical properties 10%
• Phase separation 10%
• Emulsions 8%
• Screening 7%
• Industrial applications 7%
• Neural networks 4%
• Monitoring 4%
• Water 4%
• Experiments 2%

Chemical Compounds

• Classifier 100%
• Aqueous Solution 37%
• Solubility 20%
• Area Under the Curve 11%
• Stock Solution 10%
• Phase Interface 9%
• Phase Separation 7%
• Emulsion 6%
• Water Soluble 6%
• Application 2%