Three-dimensional graphene network supported nickel-cobalt bimetallic alloy nanocatalyst for hydrogen production by hydrolysis of sodium borohydride and developing of an artificial neural network modeling to forecast hydrogen production rate

Sodium borohydride (NaBH4) is regarded as the most viable chemical for hydrogen production via hydrolysis thanks to its high theoretical hydrogen content, possible hydrogen evolution even at a low operation temperature, and producing environmentally-friendly products. However, the engineering of a h...

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Vydáno v:	Chemical engineering research & design Ročník 181; s. 321 - 330
Hlavní autor:	Karaman, Onur
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Rugby Elsevier Ltd 01.05.2022 Elsevier Science Ltd
Témata:	Algorithms Artificial neural network Artificial neural networks Back propagation networks Bimetals Borohydrides Catalyst Catalysts Catalytic activity Cobalt Economic forecasting Graphene Hydrogen Hydrogen evolution Hydrogen production Hydrolysis Mathematical models Nanostructured materials Neural networks Nickel Nickel-cobalt Optimization Performance measurement Sodium Sodium borohydride hydrolysis Surface area Three-dimensional graphene Transfer functions Sodium borohydride hydrolysis Three-dimensional graphene Nickel-cobalt Artificial neural network Hydrogen production Catalyst
ISSN:	0263-8762, 1744-3563
On-line přístup:	Získat plný text
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