Identification of High-Reliability Regions of Machine Learning Predictions Based on Materials Chemistry

Keyphrases

• Materials Chemistry 100%
• Prediction Method 100%
• High Reliability 100%
• Machine Learning Prediction 100%
• Machine Learning Applications 40%
• Feature Space 40%
• Machine Learning Models 40%
• Convex Hull 40%
• Formation Energy 40%
• Materials Science 20%
• Gap Parameter 20%
• Machine Learning 20%
• Oxide Formation 20%
• Material Design 20%
• Perovskite 20%
• Band Gap 20%
• Chemical Properties 20%
• Training Data 20%
• Machine Learning Techniques 20%
• Lattice Parameter 20%
• Highly Reliable 20%
• Physical Understanding 20%
• Small Dataset 20%
• Machine Learning Training 20%
• Energy Gap 20%
• Physical Principles 20%
• Similar Material 20%
• Transparent Conducting Oxide 20%
• Energy Band Gap 20%
• Lack of Understanding 20%
• Composition-structure-property Relationship 20%
• Solute Diffusion 20%
• Chemical Principles 20%

Material Science

• Materials Chemistry 100%
• Chemical Property 100%
• Materials Design 100%
• Structure (Composition) 100%
• Lattice Constant 100%
• Oxide Compound 100%
• Transparent Conducting Film 100%