Progress in prediction of photocatalytic CO2 reduction using machine learning approach: A mini review

Progress in prediction of photocatalytic CO2 reduction using machine learning approach: A mini review

The rapid progression of industrial revolution has contributed to an increase in greenhouse gases (GHGs) emission, particularly carbon dioxide (CO2), exacerbating global warming and placing unwanted pressure on limited energy resources, ultimately causing energy scarcity. Achieving carbon neutrality...

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Bibliographic Details
Main Authors: Ali, Md Mohshin, Hossen, Md. Arif, Azrina, Abd Aziz
Format: Article
Language:English
Published: Elsevier Ltd 2025
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/43797/
http://umpir.ump.edu.my/id/eprint/43797/1/Progress%20in%20prediction%20of%20photocatalytic%20CO2%20reduction%20using%20machine%20learning%20approach%20-%20A%20mini%20review.pdf

Internet

http://umpir.ump.edu.my/id/eprint/43797/
http://umpir.ump.edu.my/id/eprint/43797/1/Progress%20in%20prediction%20of%20photocatalytic%20CO2%20reduction%20using%20machine%20learning%20approach%20-%20A%20mini%20review.pdf

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