Employing an Artificial Neural Network in Correlating a Hydrogen-Selective Catalytic Reduction Performance with Crystallite Sizes of a Biomass-Derived Bimetallic Catalyst

A predictive model correlating the properties of a catalyst with its performance would be beneficial for the development, from biomass waste, of new, carbon-supported and Earth-abundant metal oxide catalysts. In this work, the effects of copper and iron oxide crystallite size on the performance of...

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Bibliographic Details
Main Authors: Ibrahim, Yakub, Ahmad Kueh, Beng Hong, Md. Rezaur, Rahman, Mohamad Hardyman, Barawi, Mohammad Omar, Abdullah
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:http://ir.unimas.my/id/eprint/38977/3/Employing%20an%20-%20Copy.pdf
http://ir.unimas.my/id/eprint/38977/
https://www.mdpi.com/2073-4344/12/7/779
https://doi.org/10.3390/catal12070779
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