C. KARAMAN Et Al. , "Utilization of a double-cross-linked amino-functionalized three-dimensional graphene networks as a monolithic adsorbent for methyl orange removal: Equilibrium, kinetics, thermodynamics and artificial neural network modeling," Environmental Research , vol.207, 2022
KARAMAN, C. Et Al. 2022. Utilization of a double-cross-linked amino-functionalized three-dimensional graphene networks as a monolithic adsorbent for methyl orange removal: Equilibrium, kinetics, thermodynamics and artificial neural network modeling. Environmental Research , vol.207 .
KARAMAN, C., KARAMAN, O., Show, P., Orooji, Y., & Karimi-Maleh, H., (2022). Utilization of a double-cross-linked amino-functionalized three-dimensional graphene networks as a monolithic adsorbent for methyl orange removal: Equilibrium, kinetics, thermodynamics and artificial neural network modeling. Environmental Research , vol.207.
KARAMAN, CEREN Et Al. "Utilization of a double-cross-linked amino-functionalized three-dimensional graphene networks as a monolithic adsorbent for methyl orange removal: Equilibrium, kinetics, thermodynamics and artificial neural network modeling," Environmental Research , vol.207, 2022
KARAMAN, CEREN Et Al. "Utilization of a double-cross-linked amino-functionalized three-dimensional graphene networks as a monolithic adsorbent for methyl orange removal: Equilibrium, kinetics, thermodynamics and artificial neural network modeling." Environmental Research , vol.207, 2022
KARAMAN, C. Et Al. (2022) . "Utilization of a double-cross-linked amino-functionalized three-dimensional graphene networks as a monolithic adsorbent for methyl orange removal: Equilibrium, kinetics, thermodynamics and artificial neural network modeling." Environmental Research , vol.207.
@article{article, author={CEREN KARAMAN Et Al. }, title={Utilization of a double-cross-linked amino-functionalized three-dimensional graphene networks as a monolithic adsorbent for methyl orange removal: Equilibrium, kinetics, thermodynamics and artificial neural network modeling}, journal={Environmental Research}, year=2022}