scholarly journals Reaction condition optimization for non-oxidative conversion of methane using artificial intelligence

2021 ◽  
Author(s):  
Hyun Woo Kim ◽  
Sungwoo Lee ◽  
Gyoung S. Na ◽  
Seung Ju Han ◽  
Seok Ki Kim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Chemical Reactions ◽  
Experimental Methods ◽  
Oxidative Conversion ◽  
Reaction Condition ◽  
Condition Optimization ◽  
Controllable Factors ◽  
Conversion Of Methane ◽  
Oxidative Conversion Of Methane

Chemical reactions typically have numerous controllable factors that need to be optimized to yield the desired products. Although traditional experimental methods are limited to explore possible combinations of these factors,...

scholarly journals Reaction Condition Optimization for Non-Oxidative Conversion of Methane Using Artificial Intelligence

2020 ◽  
Author(s):  
Hyun Woo Kim ◽  
Sung Woo Lee ◽  
Gyoung S. Na ◽  
Seung Ju Han ◽  
Seok Ki Kim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Chemical Reaction ◽  
Coke Formation ◽  
Oxidative Conversion ◽  
Reaction Conditions ◽  
Condition Optimization ◽  
Controllable Factors ◽  
Conversion Of Methane ◽  
Oxidative Conversion Of Methane

Chemical reactions typically have numerous controllable factors that need to be optimized to yield the desired products. Although traditional experimental methods are limited to explore possible combinations of these factors, artificial intelligence (AI) can provide the optimal solution based on chemical reaction data. In this study, we optimize the non-oxidative conversion of methane to C<sub>2</sub> compounds using AI, such as machine learning (ML) to predict experimental results and metaheuristics to optimize reaction conditions. A decision tree-based machine learning method can reasonably predict the reaction outcomes (CH<sub>4</sub> conversion, C<sub>2</sub> yield, and selectivities for C<sub>2</sub> and coke) with an error of < 5%. Trained ML models are applied to maximize the C<sub>2</sub> yield by optimizing the reaction parameters with metaheuristics. We can simultaneously enhance the C<sub>2</sub> yield and suppress the coke formation by improving the multi-objective function for the optimization. We believe that our method will be helpful to optimize the chemical reaction conditions with multiple targets.<br>

scholarly journals Reaction Condition Optimization for Non-Oxidative Conversion of Methane Using Artificial Intelligence

2020 ◽  
Author(s):  
Hyun Woo Kim ◽  
Sung Woo Lee ◽  
Gyoung S. Na ◽  
Seung Ju Han ◽  
Seok Ki Kim ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Chemical Reaction ◽  
Coke Formation ◽  
Oxidative Conversion ◽  
Reaction Conditions ◽  
Condition Optimization ◽  
Controllable Factors ◽  
Conversion Of Methane ◽  
Oxidative Conversion Of Methane

Chemical reactions typically have numerous controllable factors that need to be optimized to yield the desired products. Although traditional experimental methods are limited to explore possible combinations of these factors, artificial intelligence (AI) can provide the optimal solution based on chemical reaction data. In this study, we optimize the non-oxidative conversion of methane to C<sub>2</sub> compounds using AI, such as machine learning (ML) to predict experimental results and metaheuristics to optimize reaction conditions. A decision tree-based machine learning method can reasonably predict the reaction outcomes (CH<sub>4</sub> conversion, C<sub>2</sub> yield, and selectivities for C<sub>2</sub> and coke) with an error of < 5%. Trained ML models are applied to maximize the C<sub>2</sub> yield by optimizing the reaction parameters with metaheuristics. We can simultaneously enhance the C<sub>2</sub> yield and suppress the coke formation by improving the multi-objective function for the optimization. We believe that our method will be helpful to optimize the chemical reaction conditions with multiple targets.<br>

Low temperature oxidative conversion of methane to syngas over NiO-CaO catalyst

1992 ◽  
Vol 15 (4) ◽  
pp. 363-370 ◽  
Author(s):  
V. R. Choudhary ◽  
A. M. Rajput ◽  
B. Prabhakar
Keyword(s):  
Low Temperature ◽  
Oxidative Conversion ◽  
Conversion Of Methane ◽  
Oxidative Conversion Of Methane

Plasma-Assisted Non-Oxidative Conversion of Methane over Mo/HZSM-5 Catalyst in DBD Reactor

2017 ◽  
Vol 60 (9-11) ◽  
pp. 735-742 ◽  
Author(s):  
Sunyoung Park ◽  
Maeum Lee ◽  
Jongyoon Bae ◽  
Do-Young Hong ◽  
Yong-Ki Park ◽  
...  
Keyword(s):  
Oxidative Conversion ◽  
Conversion Of Methane ◽  
Oxidative Conversion Of Methane ◽  
Dbd Reactor

Oxidative conversion of methane to CO and H2 over Pt or Pd containing alkaline and rare earth oxide catalysts

Fuel ◽  
1998 ◽  
Vol 77 (13) ◽  
pp. 1477-1481 ◽  
Author(s):  
Vasant R. Choudhary ◽  
Bathula Prabhakar ◽  
Amarjeet M. Rajput ◽  
Ajit S. Mamman
Keyword(s):  
Rare Earth ◽  
Rare Earth Oxide ◽  
Oxide Catalysts ◽  
Oxidative Conversion ◽  
Conversion Of Methane ◽  
Oxidative Conversion Of Methane
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