Neural computation to predict TiO2 photocatalytic efficiency for nitrogen oxides removal-Reference-Cited by-同舟云学术

Neural computation to predict TiO2 photocatalytic efficiency for nitrogen oxides removal

Published:2004-07 Issue:1-3 Volume:165 Page:91-96
ISSN:1010-6030
Container-title:Journal of Photochemistry and Photobiology A: Chemistry
language:en
Short-container-title:Journal of Photochemistry and Photobiology A: Chemistry

Author:

Toma Filofteia-Laura,Guessasma Sofiane,Klein Didier,Montavon Ghislain,Bertrand Ghislaine,Coddet Christian

Publisher

Elsevier BV

Subject

General Physics and Astronomy,General Chemical Engineering,General Chemistry

Reference10 articles.

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2. K. Tanaka, T. Hisanaga, A.P. Rivera, Effect of crystal form of TiO2 on the photocatalytic degradation of pollutants, in: D.F. Ollis, H. Al-Ekabi (Eds.), Proceedings of the Photocatalytic Purification and Treatment of Water and Air, Elsevier, Amsterdam, 1993, pp. 169–178.

3. The surface structure of titanium dioxide thin film photocatalyst;Negiski;Appl. Surf. Sci.,1997

4. K. Hashimoto, K. Wasada, N. Toukai, H. Komonami, Y. Kera, Photocatalytic oxidation of nitrogen monoxide over titanium(IV) oxide nanocrystals large size areas, J. Photochem. Photobiol. A: Chem. 136 (2000) 103–109.

5. S. Guessasma, G. Montavon, C. Coddet, On the neural network concept to describe the thermal spray deposition process: an introduction, in: E. Lugscheider (Ed.), Proceedings of the International Thermal Spray Conference 2002, DVS-Verlag/GmbH, Düsseldorf, Germany, 2002, pp. 435–439.

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