Ind. Eng. Chem. Res.
 2023
DOI: 10.1021/acs.iecr.3c02973
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Enhancing Ethene Production through Low-Temperature Oxidative Coupling of Methane: Leveraging DFT and Data Analysis for Crafting Innovative and Efficient Catalyst Compositions

Lord Ugwu,
Yasser Morgan,
Hussameldin Ibrahim
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Cited by 4 publications
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A Comparative Analysis of Machine Learning Predictive Models for the Oxidative Coupling of Methane Reaction

Ugwu,
Morgan,
Ibrahim
2024
Materials Today Communications
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A Comparative Analysis of Machine Learning Predictive Models for the Oxidative Coupling of Methane Reaction

Ugwu,
Morgan,
Ibrahim
2024
Materials Today Communications
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Design of low temperature La2O3 oxidative coupling of methane catalysts using feature engineering and automated sampling

Garcia-Escobar,
Takahashi,
Shaaban
et al. 2025
Catal. Sci. Technol.
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A review of the application of Density Functional Theory and machine learning for oxidative coupling of methane reaction for ethylene production

Ugwu,
Morgan,
Ibrahim
2024
Chemical Engineering Communications
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