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Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: Equilibrium, kinetic, and thermodynamic modeling, and forecasting via artificial neural network approach
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C. KARAMAN Et Al. , "Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: Equilibrium, kinetic, and thermodynamic modeling, and forecasting via artificial neural network approach," Chemosphere , vol.290, 2022

KARAMAN, C. Et Al. 2022. Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: Equilibrium, kinetic, and thermodynamic modeling, and forecasting via artificial neural network approach. Chemosphere , vol.290 .

KARAMAN, C., KARAMAN, O., Show, P., Karimi-Maleh, H., & Zare, N., (2022). Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: Equilibrium, kinetic, and thermodynamic modeling, and forecasting via artificial neural network approach. Chemosphere , vol.290.

KARAMAN, CEREN Et Al. "Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: Equilibrium, kinetic, and thermodynamic modeling, and forecasting via artificial neural network approach," Chemosphere , vol.290, 2022

KARAMAN, CEREN Et Al. "Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: Equilibrium, kinetic, and thermodynamic modeling, and forecasting via artificial neural network approach." Chemosphere , vol.290, 2022

KARAMAN, C. Et Al. (2022) . "Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: Equilibrium, kinetic, and thermodynamic modeling, and forecasting via artificial neural network approach." Chemosphere , vol.290.

@article{article, author={CEREN KARAMAN Et Al. }, title={Congo red dye removal from aqueous environment by cationic surfactant modified-biomass derived carbon: Equilibrium, kinetic, and thermodynamic modeling, and forecasting via artificial neural network approach}, journal={Chemosphere}, year=2022}