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Zinc oxide photocatalysis for pollutant degradation: a review of elemental doping, morphology, and microstructure, integrated with machine learning-based performance modelling

Crossref DOI link: https://doi.org/10.1007/s42114-026-01674-1

Published Online: 2026-03-11

Published Print: 2026-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Navidpour, Amir Hossein

Dashti, Amir

Dil, Ebrahim Alipanahpour

Asadi, Peyman

Zhou, John L.

Moshfegh, Alireza

Altaee, Ali
Funding

Funding for this research was provided by:

University of Technology Sydney
License Information

Text and Data Mining valid from 2026-03-11

Version of Record valid from 2026-03-24
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Article History

Received: 14 May 2025

Revised: 23 January 2026

Accepted: 29 January 2026

First Online: 11 March 2026

Declarations

:

: During the preparation of this work, the author(s) used Google Translate, QuillBot, Grammarly, Gemini, and ChatGPT in order to check the grammar and improve clarity. After using these tools/services, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the publication.

: The authors declare no competing interests.

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