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

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

The catalytic dry reforming (DR) process is a clean approach to transform CO2 into H2 and CO-rich synthetic gas that can be used for various energy applications such as Fischer�Tropsch fuels production. A novel framework is proposed to determine the optimum reaction configurations and reaction pat...

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Bibliographic Details
Main Authors: Lim, J.Y., Loy, A.C.M., Alhazmi, H., Fui, B.C.L., Cheah, K.W., Taylor, M.J., Kyriakou, G., Yoo, C.K.
Format: Article
Published: John Wiley and Sons Ltd 2021
Online Access:http://scholars.utp.edu.my/id/eprint/29341/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121343142&doi=10.1002%2fer.7565&partnerID=40&md5=3f5c18eade92684cbacba91e122362fc
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http://scholars.utp.edu.my/id/eprint/29341/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121343142&doi=10.1002%2fer.7565&partnerID=40&md5=3f5c18eade92684cbacba91e122362fc

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