Jafarzadeh, H. Et Al. 2022. Hydrogen production via sodium borohydride hydrolysis catalyzed by cobalt ferrite anchored nitrogen-and sulfur co-doped graphene hybrid nanocatalyst: Artificial neural network modeling approach. Chemical Engineering Research and Design , vol.183 , 557-566.

Jafarzadeh, H., KARAMAN, C., GÜNGÖR, A., KARAMAN, O., Show, P., Sami, P., ... Mehrizi, A. A.(2022). Hydrogen production via sodium borohydride hydrolysis catalyzed by cobalt ferrite anchored nitrogen-and sulfur co-doped graphene hybrid nanocatalyst: Artificial neural network modeling approach. Chemical Engineering Research and Design , vol.183, 557-566.

Jafarzadeh, Hamed Et Al. "Hydrogen production via sodium borohydride hydrolysis catalyzed by cobalt ferrite anchored nitrogen-and sulfur co-doped graphene hybrid nanocatalyst: Artificial neural network modeling approach," Chemical Engineering Research and Design , vol.183, 557-566, 2022

Jafarzadeh, Hamed Et Al. "Hydrogen production via sodium borohydride hydrolysis catalyzed by cobalt ferrite anchored nitrogen-and sulfur co-doped graphene hybrid nanocatalyst: Artificial neural network modeling approach." Chemical Engineering Research and Design , vol.183, pp.557-566, 2022

Jafarzadeh, H. Et Al. (2022) . "Hydrogen production via sodium borohydride hydrolysis catalyzed by cobalt ferrite anchored nitrogen-and sulfur co-doped graphene hybrid nanocatalyst: Artificial neural network modeling approach." Chemical Engineering Research and Design , vol.183, pp.557-566.

@article{article, author={Hamed Jafarzadeh Et Al. }, title={Hydrogen production via sodium borohydride hydrolysis catalyzed by cobalt ferrite anchored nitrogen-and sulfur co-doped graphene hybrid nanocatalyst: Artificial neural network modeling approach}, journal={Chemical Engineering Research and Design}, year=2022, pages={557-566} }