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Page 1
Machine learning approaches to predict the photocatalytic performance of bismuth ferrite-based materials in the removal of malachite green.
J Hazard Mater. 2023 Jan 15;442:130031. doi: 10.1016/j.jhazmat.2022.130031. Epub 2022 Sep 19.
J Hazard Mater. 2023.
PMID: 36179629
Transformer-based deep learning models for adsorption capacity prediction of heavy metal ions toward biochar-based adsorbents.
Jaffari ZH, Abbas A, Kim CM, Shin J, Kwak J, Son C, Lee YG, Kim S, Chon K, Cho KH.
Jaffari ZH, et al.
J Hazard Mater. 2024 Jan 15;462:132773. doi: 10.1016/j.jhazmat.2023.132773. Epub 2023 Oct 12.
J Hazard Mater. 2024.
PMID: 37866140
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Constructing magnetic Pt-loaded BiFeO3 nanocomposite for boosted visible light photocatalytic and antibacterial activities.
Jaffari ZH, Lam SM, Sin JC, Mohamed AR.
Jaffari ZH, et al.
Environ Sci Pollut Res Int. 2019 Apr;26(10):10204-10218. doi: 10.1007/s11356-019-04503-9. Epub 2019 Feb 13.
Environ Sci Pollut Res Int. 2019.
PMID: 30758796
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Digital imaging-in-flow (FlowCAM) and probabilistic machine learning to assess the sonolytic disinfection of cyanobacteria in sewage wastewater.
Jaffari ZH, Na S, Abbas A, Park KY, Cho KH.
Jaffari ZH, et al.
J Hazard Mater. 2024 Apr 15;468:133762. doi: 10.1016/j.jhazmat.2024.133762. Epub 2024 Feb 15.
J Hazard Mater. 2024.
PMID: 38402678
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Machine learning analysis to interpret the effect of the photocatalytic reaction rate constant (k) of semiconductor-based photocatalysts on dye removal.
Kim CM, Jaffari ZH, Abbas A, Chowdhury MF, Cho KH.
Kim CM, et al. Among authors: jaffari zh.
J Hazard Mater. 2024 Mar 5;465:132995. doi: 10.1016/j.jhazmat.2023.132995. Epub 2023 Nov 11.
J Hazard Mater. 2024.
PMID: 38039815
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