Enhancing the electronic properties of TiO₂ nanoparticles through carbon doping: An integrated DFTB and computer vision approach

Keyphrases

• Electronic Properties 100%
• Carbon Doping 100%
• Density Functional Tight Binding 100%
• TiO2 Nanoparticles 100%
• C-doping 100%
• Computer Vision Approaches 100%
• Integration Density 100%
• Rutile 66%
• Electronic Structure 66%
• TiO2 NPs 66%
• C-doped TiO2 66%
• Innovative Approach 33%
• Machine Learning Models 33%
• Computer Vision 33%
• Energy Gap 33%
• Band Gap 33%
• Computer Vision Methods 33%
• Materials Discovery 33%
• Discovery Process 33%
• Titanium Dioxide Nanoparticles 33%
• Prediction Accuracy 33%
• Complex Interactions 33%
• Computational Efficiency 33%
• Total Energy 33%
• Photocatalytic Efficiency 33%
• Photocatalytic Activity 33%
• Structure-activity 33%
• Visible Light 33%
• Undoped 33%
• Computer Vision Techniques 33%
• Structural Dynamics 33%
• Substantial Change 33%
• Photocatalytic Ability 33%
• Doping Level 33%
• Doped Titanium Oxide 33%
• C Incorporation 33%
• Carbon-doped Titania 33%
• Computer Use 33%

Material Science

• Electronic Property 100%
• Nanoparticle 100%
• Density 100%
• Titanium Dioxide 100%
• Titanium Oxide 20%
• Materials Class 20%
• Structural Dynamics 20%

Engineering

• Nanoparticle 100%
• Computervision 100%
• Band Gap 50%
• Electronic State 50%
• Computational Efficiency 25%
• Energetics 25%
• Doping Level 25%
• Learning System 25%
• Structural Dynamics 25%
• Substantial Change 25%