The use of artificial neural network (ANN) for modeling adsorption of sunset yellow onto neodymium modified ordered mesoporous carbon-Reference-Cited by-同舟云学术

The use of artificial neural network (ANN) for modeling adsorption of sunset yellow onto neodymium modified ordered mesoporous carbon

Published:2020-10 Issue: Volume:256 Page:127081
ISSN:0045-6535
Container-title:Chemosphere
language:en
Short-container-title:Chemosphere

Author:

Ahmad Zaki Uddin,Yao Lunguang,Lian Qiyu,Islam Fahrin,Zappi Mark E.,Gang Daniel Dianchen

Funder

Louisiana Board of Regents

Publisher

Elsevier BV

Subject

General Medicine,General Chemistry,Environmental Chemistry,Environmental Engineering,Pollution,Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference67 articles.

1. Molecular simulation and experimental validation of resorcinol adsorption on Ordered Mesoporous Carbon (OMC);Ahmad;J. Hazard Mater.,2018

2. Adsorptive removal of resorcinol on a novel ordered mesoporous carbon (OMC) employing COK-19 silica scaffold: kinetics and equilibrium study;Ahmad;J. Environ. Sci.,2019

3. Adsorptive removal of resorcinol onto surface modified ordered mesoporous carbon: kinetics and equilibrium study;Ahmad;Environ. Prog. Sustain.,2019

4. Neodymium embedded ordered mesoporous carbon (OMC) for enhanced adsorption of sunset yellow: characterizations, adsorption study and adsorption mechanism;Ahmad;Chem. Eng. J.,2019

5. Removal of methylene blue from aqueous solution with self-assembled cylindrical graphene–carbon nanotube hybrid;Ai;Chem. Eng. J.,2012

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