Artificial neural network modeling of photocatalytic degradation of pollutants: a review of photocatalyst, optimum parameters and model topology-Reference-Cited by-同舟云学术

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Artificial neural network modeling of photocatalytic degradation of pollutants: a review of photocatalyst, optimum parameters and model topology

Published:2024-04-08 Issue: Volume: Page:1-35
ISSN:0161-4940
Container-title:Catalysis Reviews
language:en
Short-container-title:Catalysis Reviews

Author:

Das Susmita¹,Moon Snehal²,Kaur Ramanpreet³,Sharma Gaurav²,Kumar Praveen⁴,Lavrenčič Štangar Urška⁴

Affiliation:

1. Department of Chemical Engineering, National Institute of Technology Calicut, Calicut, India

2. Department of Chemical Engineering, Indian Institute of Technology Roorkee, Roorkee, India

3. Laboratory for Open Systems and Networks, Jožef Stefan Institute, Ljubljana, Slovenia

4. Faculty of Chemistry and Chemical Technology, University of Ljubljana, Ljubljana, Slovenia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01614940.2024.2338131

Reference97 articles.

1. Heterogeneous photocatalysis and its potential applications in water and wastewater treatment: a review

2. Treatment of textile industry wastewater by supported photocatalysis

3. Sequestration of dye from textile industry wastewater using agricultural waste products as adsorbents

4. A Short Review of Techniques for Phenol Removal from Wastewater

5. Influencing Parameters in the Photocatalytic Degradation of Organic Effluent via Nanometal Oxide Catalyst: A Review

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1. Unveiling the role of artificial intelligence in tetracycline antibiotics removal using UV/sulfite/phenol advanced reduction process;Journal of Environmental Management;2024-11

2. Integrating machine learning with experimental investigation for optimizing photocatalytic degradation of Rhodamine B using neodymium-doped titanium dioxide: a comprehensive approach with toxicity assessment;Environmental Science and Pollution Research;2024-09-03

3. Enhancing photocatalytic performance: Studying the synthesis and characterization of AgI-tuned TiO2/ZnO hybrid ternary nanocomposites;Journal of Physics and Chemistry of Solids;2024-09

4. Data-augmenting self-attention network for predicting photocatalytic degradation efficiency: a study on TiO2/curcumin nanocomposites;Reaction Kinetics, Mechanisms and Catalysis;2024-08-10

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