Synthesis of CuO–NiO nanocomposite and dye adsorption modeling using artificial neural network-Reference-Cited by-同舟云学术

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Synthesis of CuO–NiO nanocomposite and dye adsorption modeling using artificial neural network

Published:2015-09-07 Issue:37 Volume:57 Page:17220-17229
ISSN:1944-3994
Container-title:Desalination and Water Treatment
language:en
Short-container-title:Desalination and Water Treatment

Author:

Mahmoodi Niyaz Mohammad,Hosseinabadi-Farahani Zahra,Bagherpour Farzaneh,Khoshrou Mohammad Reza,Chamani Hooman,Forouzeshfar Fahimeh

Publisher

Informa UK Limited

Subject

Pollution,Ocean Engineering,Water Science and Technology

Link

http://www.tandfonline.com/doi/pdf/10.1080/19443994.2015.1086895

Reference60 articles.

1. Nanophotocatalysis using nanoparticles of titania

2. Binary system dye removal by electrocoagulation from synthetic and real colored wastewaters

3. Preparation and photocatalytic activity of immobilized composite photocatalyst (titania nanoparticle/activated carbon)

4. Dye and its removal from aqueous solution by adsorption: A review

5. Dendrimer functionalized nanoarchitecture: Synthesis and binary system dye removal

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4. Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling;Heliyon;2023-01

5. Radish (<i>Raphanus sativus) </i>Leaves Mediated CuO-NiO Nanocomposite for Photocatalytic Activity;Advanced Materials Research;2022-08-25

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