Accelerating the prediction of inorganic surfaces with machine learning interatomic potentials

Engineering & Materials Science

• Machine learning 49%
• Film growth 17%
• Phase stability 16%
• Catalysis 15%
• Phase diagrams 14%
• Materials science 13%
• Surface structure 13%
• Surface morphology 12%
• Large dataset 12%
• Computational methods 11%
• Surface properties 11%
• Thin films 10%
• Thermodynamics 9%
• Learning algorithms 9%

Chemical Compounds

• Interatomic Potential 100%
• Surface 21%
• Phase Stability 11%
• Heterogeneous Catalysis 10%
• Surface Structure 9%
• Phase Diagrams 8%
• Force 6%
• Application 6%
• Thermodynamics 6%