Designing a Z-scheme rGO-SnS<sub>2</sub> synergistic photocatalyst for photocatalytic mineralization of atrazine and 2,4-dichlorophenoxyacetic acid and applying machine learning for predictive modelling of photocatalytic performance.
- DOI
- 10.1039/d5na00143a
- Published
- 2025-04-16
- Container
- Nanoscale Adv
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1039/d5na00143a,
title = {Designing a Z-scheme rGO-SnS\<sub\>2\</sub\> synergistic photocatalyst for photocatalytic mineralization of atrazine and 2,4-dichlorophenoxyacetic acid and applying machine learning for predictive modelling of photocatalytic performance.},
author = {Patel J and Parmar M and Shahabuddin S and Tyagi I and Suhas and Gaur R.},
year = {2025},
journal = {Nanoscale Adv},
doi = {10.1039/d5na00143a},
url = {https://doi.org/10.1039/d5na00143a}
}RIS
TY - JOUR TI - Designing a Z-scheme rGO-SnS<sub>2</sub> synergistic photocatalyst for photocatalytic mineralization of atrazine and 2,4-dichlorophenoxyacetic acid and applying machine learning for predictive modelling of photocatalytic performance. AU - Patel J AU - Parmar M AU - Shahabuddin S AU - Tyagi I AU - Suhas AU - Gaur R. PY - 2025 JO - Nanoscale Adv DO - 10.1039/d5na00143a UR - https://doi.org/10.1039/d5na00143a ER -
APA
J, P., M, P., S, S., I, T., Suhas, & R., G. (2025). Designing a Z-scheme rGO-SnS<sub>2</sub> synergistic photocatalyst for photocatalytic mineralization of atrazine and 2,4-dichlorophenoxyacetic acid and applying machine learning for predictive modelling of photocatalytic performance.. Nanoscale Adv. https://doi.org/10.1039/d5na00143a
Source records
- europe-pmc · retrieved 2026-09-26T00:51:54.341Z