Electroreduction of hexavalent chromium using a porous titanium flow-through electrode and intelligent prediction based on a back propagation neural network-Reference-Cited by-同舟云学术

Electroreduction of hexavalent chromium using a porous titanium flow-through electrode and intelligent prediction based on a back propagation neural network

Published:2023-03-02 Issue:8 Volume:17 Page:
ISSN:2095-2201
Container-title:Frontiers of Environmental Science & Engineering
language:en
Short-container-title:Front. Environ. Sci. Eng.

Author:

Zhang Xinwan,Meng Guangyuan,Hu Jinwen,Xiao Wanzi,Li Tong,Zhang Lehua,Chen Peng

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s11783-023-1697-x.pdf

Reference49 articles.

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2. Ayodele B V, Alsaffar M A, Mustapa S I, Vo D V N (2020). Backpropagation neural networks modelling of photocatalytic degradation of organic pollutants using TiO2-based photocatalysts. Journal of Chemical Technology and Biotechnology (Oxford, Oxfordshire), 95: 2739–2749

3. Barik R C, Wharton J A, Wood R, Stokes K R (2020). Further studies into the flow corrosion cathodic mass transfer kinetics of copper and nickel-aluminium bronze wall-jet electrodes. Corrosion Science, 170: 108660

4. Barrera-Díaz C, Lugo-Lugo V, Roa-Morales G, Natividad R, Martínez-Delgadillo S A (2011). Enhancing the electrochemical Cr(VI) reduction in aqueous solution. Journal of Hazardous Materials, 185(2–3): 1362–1368

5. Chang F, Tian C K, Liu S T, Ni J R (2016). Discrepant hexavalent chromium tolerance and detoxification by two strains of Trichoderma asperellum with high homology. Chemical Engineering Journal, 298: 75–81

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