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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2022
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| 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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