Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes

The photocatalytic hydrogenation of CO2 to value-added products is one of the most appealing sustainable strategies to meet growing fuel demand and lowering CO2 levels in the atmosphere. This study focuses on the prediction and optimization of CO2 conversion efficiency using machine learning (ML) ap...

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Bibliographic Details

Main Authors:	Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon
Format:	Article
Language:	en
Published:	Elsevier 2025
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/43705/1/Experimental%20and%20AI-driven%20enhancements%20in%20gas-phase%20photocatalytic.pdf http://umpir.ump.edu.my/id/eprint/43705/ https://doi.org/10.1016/j.enconman.2025.119544
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