Parametric analysis of CO₂ hydrogenation via Fischer-Tropsch synthesis: A review based on machine learning for quantitative assessment

Keyphrases

• Machine Learning 100%
• Parametric Analysis 100%
• Artificial Neural Network 100%
• Fischer-Tropsch Synthesis 100%
• CO2 Hydrogenation 100%
• Mass Transfer 50%
• Training Data 50%
• Product Distribution 50%
• Quantitative Evaluation 50%
• Partial Pressure 50%
• Iron Catalyst 50%
• Evolving Patterns 50%
• Distribution-based 50%
• Power Values 50%
• Best Model 50%
• Lumped Kinetics 50%
• Kinetic Power 50%
• Specific Selectivity 50%
• Catalyst Mass 50%
• TensorFlow 50%
• Catalyst Informatics 50%

Chemical Engineering

• Learning System 100%
• Hydrogenation 100%
• Neural Network 100%
• Fischer-Tropsch Synthesis 100%
• CO2 Conversion 50%

Material Science

• Carbon Dioxide 100%
• Hydrogenation 100%