A review of the application of Density Functional Theory and machine learning for oxidative coupling of methane reaction for ethylene production-Reference-Cited by-同舟云学术

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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

Published:2024-04-08 Issue:8 Volume:211 Page:1236-1261
ISSN:0098-6445
Container-title:Chemical Engineering Communications
language:en
Short-container-title:Chemical Engineering Communications

Author:

Ugwu Lord¹,Morgan Yasser²,Ibrahim Hussameldin¹

Affiliation:

1. Clean Energy Technologies Research Institute (CETRI), Process Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, Canada

2. Software Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Canada Foundation for Innovation

University of Regina

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00986445.2024.2336234

Reference121 articles.

1. Alkali-Added Catalysts Based on LaAlO3 Perovskite for the Oxidative Coupling of Methane

2. Alternative Oxidants for the Catalytic Oxidative Coupling of Methane

3. Mn–Na2WO4/SiO2 as catalyst for the oxidative coupling of methane. What is really known?

4. Selective oxidative coupling of methane to ethane and ethylene over supported lead oxide catalysts

5. Catalytic Conversion of Methane at Low Temperatures: A Critical Review

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