Effect of Interlayer Bonding on Superlubric Sliding of Graphene Contacts: A Machine-Learning Potential Study

Keyphrases

• Graphene Interface 100%
• Interlayer Bonding 100%
• Graphene Contact 100%
• Machine Learning Potential 100%
• Material Interfaces 66%
• Layered Materials 66%
• Defective Graphene 66%
• Friction 33%
• Homogeneous-heterogeneous 33%
• Molecular Dynamics Simulation 33%
• Friction Coefficient 33%
• Density Functional Calculations 33%
• Surface Defects 33%
• High Computational Cost 33%
• Mutual Interaction 33%
• Ab Initio Simulations 33%
• Sliding Dynamics 33%
• Graph Neural Network 33%
• Many-body Dispersion 33%
• Dispersion-corrected Density Functional Theory (DFT-D) 33%
• Aligned Graphene 33%
• Classical Force Field 33%
• Configuration Space Exploration 33%

Engineering

• Graphene 100%
• Interlayer 100%
• Material Interface 40%
• Computer Simulation 20%
• Coefficient of Friction 20%
• Computational Cost 20%
• Surface Defect 20%
• Configuration Space 20%
• Mutual Interaction 20%

Material Science

• Graphene 100%
• Layered Material 40%
• Density 20%
• Coefficient of Friction 20%
• Surface Defect 20%
• Ab Initio Simulation 20%