Machine learning based prediction of metal hydrides for hydrogen storage, part II: Prediction of material class

Physics & Astronomy

• metal hydrides 100%
• machine learning 97%
• classifiers 51%
• heat of formation 48%
• hydrogen 47%
• predictions 41%
• operating temperature 40%
• tropical regions 24%
• logistics 24%
• regression analysis 19%
• performance 8%
• temperature 5%
• energy 5%

Engineering & Materials Science

• Hydrogen storage 97%
• Hydrides 96%
• Machine learning 56%
• Metals 49%
• Hydrogen 45%
• Temperature 30%
• Classifiers 27%
• Neural networks 23%
• Logistic regression 21%
• Hot Temperature 18%