A novel interpretable machine learning model approach for the prediction of TiO 2 photocatalytic degradation of air contaminants
Air contaminants lead to various environmental and health issues. Titanium dioxide (TiO ) features the benefits of autogenous photocatalytic degradation of air contaminants. To evaluate its performance, laboratory experiments are commonly used to determine the kinetics of the photocatalytic-degradat...
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Veröffentlicht in: | Scientific reports 2024-06, Vol.14 (1), p.13070 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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