journal article·2025-04

An in-depth study by machine learning models of the absorbance properties of stable Ta2O5 nanotubes decorated by PbS nanoparticles for photocatalytic applications

Ines Khemissi, Radhouane Laajimi, Kawther Ben Mabrouk, Anouar Hajjaji, Mehdi Rahmani

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OpenAlex topics: Advanced Photocatalysis Techniques · TiO2 Photocatalysis and Solar Cells · Advanced Nanomaterials in Catalysis

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References (33)

Show source-provided references
1. Evolution of photocatalysis process for degradation of residual xanthate in wastewater from mineral processing industry—A review10.1016/j.jwpe.2024.106130 ↗
2. Efficient degradation of dye pollutants in wastewater via photocatalysis using a magnetic zinc oxide/graphene/iron oxide-based catalyst10.1016/j.wse.2023.01.004 ↗
3. A review on photocatalysis used for wastewater treatment: dye degradation10.1007/s11270-023-06359-9 ↗
4. Role of transition metal oxides in g-C3N4-based heterojunctions for photocatalysis and supercapacitors10.1016/j.jechem.2021.04.057 ↗
5. An in-depth exploration of eco-friendly synthesis methods for metal oxide nanoparticles and their role in photocatalysis for industrial dye degradation10.1016/j.chphi.2023.100355 ↗
6. Comparison of oxygen vacancy defects in crystalline and amorphous Ta2O510.1016/j.mee.2015.04.065 ↗
7. Porous tantalum oxide prepared by electrochemical anodic oxidation10.1149/1.1997153 ↗
8. Innovative electrochemical synthesis of highly defective Ta2O5/Cu2O nanotubes inactivating bacteria under low-intensity solar irradiation
9. Photon upconversion utilizing energy beyond the band gap of crystalline silicon with a hybrid TES-ADT/PbS quantum dots system10.1039/C9SC00821G ↗
10. Spatially hybrid control of entanglement between atom and photon10.1016/j.physb.2024.416561 ↗
11. Light management in hole transport layer-free perovskite solar cell by SPP and LSPR10.1088/1402-4896/ad59de ↗
12. Stable Ta2O5 nanotubes decorated by PbS by the SILAR method for photocatalytic dye degradation10.1016/j.jphotochem.2023.114937 ↗
13. Designing of small molecule donors with the help of machine learning for organic solar cells and performance prediction10.1016/j.jphotochem.2024.116026 ↗
14. Machine and deep learning approaches for alzheimer disease detection using magnetic resonance images: an updated review10.1016/j.measurement.2023.114100 ↗
15. Machine learning integrated photocatalysis: progress and challenges10.1039/D3CC00989K ↗
16. Study of machine learning on the photocatalytic activity of a novel nanozeolite for the application in the Rhodamine B dye degradation10.1016/j.cattod.2024.114986 ↗
17. Integrative analysis of multi machine learning models for tetracycline photocatalytic degradation with MOFs in wastewater treatment10.1016/j.chemosphere.2023.141010 ↗
18. Adsorption of organic dyes onto nanozeolites: a machine learning study10.1016/j.seppur.2023.123712 ↗
19. Biosynthesis and characterization of a novel supported nanocatalyst for the methylene blue dye photodegradation: machine learning modeling and photocatalytic activity10.1016/j.cattod.2024.114888 ↗
20. Photocatalytic removal of ciprofloxacin using synthesized of C/Fe-BiVO4/Bi2WO6 photocatalysts: optimization and modeling of process by RSM and ANN10.1016/j.dwt.2024.100745 ↗
21. Enhanced photocatalytic degradation of tetracycline using α-Fe2O3@TiO2- impregnated Mxene photocatalyst: mechanism and optimization of process via RSM and ANN10.1016/j.psep.2024.07.081 ↗
22. Deep characterization of the electrical features of Ag/P3HT/SiNWs Schottky diodes by machine learning models based on experimental study
23. Decision tree–based identification of Staphylococcus aureus via infrared spectral analysis of ambient gas10.1007/s00216-021-03729-2 ↗
24. Progress toward adsorption mechanism exploration method for capacitive deionization: experimental, mathematical model, computational chemistry and machine learning10.1016/j.desal.2024.117850 ↗
25. Application of machine learning models to improve the prediction of pesticide photodegradation in water by ZnO-based photocatalysts10.1016/j.chemosphere.2024.142792 ↗
26. Evaluation of cytotoxicity, reactive oxygen species and nitrous oxide of nanochitosan from shrimp shell10.1016/j.ijbiomac.2023.123730 ↗
27. Cerium oxide nanoparticles: biosynthesis, characterization, antimicrobial, ecotoxicity and photocatalytic activity
28. Influence of PbS nanoparticle polymer coating on their aggregation behavior and toxicity to the green algae Dunaliella salina10.1016/j.aquatox.2014.05.012 ↗
29. Increased photocatalytic activity of NiO and ZnO in photodegradation of a model drug aqueous solution: effect of coupling, supporting, particles size and calcination temperature10.1016/j.jhazmat.2016.09.056 ↗
30. Modeling and prediction investigation of the resistivity of the Perovskite La0.57Y0.10Ba0.23Ca0.10MnO3 compound10.12816/0053514 ↗
31. Developing optimal artificial neural network (ANN) to predict the specific heat of water based yttrium oxide (Y2O3) nanofluid according to the experimental data and proposing new correlation10.1615/HeatTransRes.2020034724 ↗
32. Kinetics of photocatalytic, self-cleaning surfaces: a decision tree approach for determination of reaction order10.1016/j.apcatb.2018.08.079 ↗
33. Evaluation of machine learning models for predicting TiO2 photocatalytic degradation of air contaminants10.1038/s41598-024-64486-7 ↗