Harnessing AI to revolutionize photocatalytic degradation of Tetracycline via optimized UV/ZrO2/NaOCl reaction pathways

Abstract This paper assesses the presentation of Gradient Boosting Regression (GBR), Ridge Regression (RR), and Particle Swarm Optimization (PSO) models in improving the photocatalytic destruction of antibiotic utilizing a UV/ZrO₂/NaOCl system. The GBR model indicated the strength of exhibited preci...

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Bibliografski detalji

Glavni autori:	Amir Sheikhmohammadi, Saeed Hosseinpour, Zahra Jalilzadeh, Hossein Azarpira, Mahmood Yousefi
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2025-05-01
Serija:	Scientific Reports
Teme:	Photocatalytic degradation Tetracycline removal UV/ZrO₂/NaOCl optimization Artificial intelligence models Reaction pathway enhancement
Online pristup:	https://doi.org/10.1038/s41598-025-03814-x
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