Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons: Reaction pathways and multicriteria optimization analyses

Keyphrases

• Optimization Analysis 100%
• Reaction Pathway 100%
• Catalytic Dry Reforming 100%
• Hydrocarbon Reaction 100%
• Pathway Optimization 100%
• CO2 Utilization 100%
• Pt(111) 100%
• Multi-criteria Optimization 100%
• Ni(111) 75%
• Reform Process 50%
• Dry Reforming 50%
• Microkinetics 50%
• Reaction Mechanism Generator 50%
• H2 Yield 50%
• First-principles 25%
• Machine Learning 25%
• Reaction Temperature 25%
• CH4-CO2 25%
• Thermodynamics 25%
• Bond Dissociation 25%
• C-H Bond 25%
• Activation Energy 25%
• Synthesis Gas 25%
• Cu(111) 25%
• CO2 Reduction Reaction (CO2RR) 25%
• C2 Hydrocarbons 25%
• Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) 25%
• Pathway Network 25%
• Parameter Dependence 25%
• Endothermic Reaction 25%
• Energy Applications 25%
• Fuel Production 25%
• C3 Hydrocarbons 25%
• CO2 Conversion 25%
• Multi-criteria Decision Making Process 25%
• Dehydrogenation 25%
• CH4 Dry Reforming 25%
• Catalytic Surface 25%
• CH4 Reforming 25%
• (111) Surface 25%
• Cu-Co 25%
• Energy Profile 25%
• C4 Hydrocarbons 25%
• C1-C4 Hydrocarbons 25%
• Yield Reduction 25%
• PtNi 25%
• Selective Reaction 25%

Chemical Engineering

• Methane 100%
• Carbon Dioxide Utilization 100%
• Learning System 33%
• Dehydrogenation 33%
• Carbon Dioxide Reduction 33%
• CO2 Conversion 33%

Material Science

• Carbon Dioxide 100%
• Activation Energy 20%
• Dehydrogenation 20%