2021
DOI: 10.1016/j.eti.2021.101761
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Process optimization and kinetics analysis for photocatalytic degradation of emerging contaminant using N-doped TiO2-SiO2 nanoparticle: Artificial Neural Network and Surface Response Methodology approach

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Cited by 19 publications
(13 citation statements)
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“…Thus, this model can guide the optimization of experimental conditions in photocatalytic pollutant degradation. Kassahun et al employed NN models to optimize the synthesis conditions of the N-doped TiO 2 /SiO 2 heterojunction to get an optimum ciprofloxacin degradation efficiency under visible light . Similar NN approaches were extended to other systems such as S-doped g-C 3 N 4 /ZnO, g-C 3 N 4 /Ce-doped ZnO/Ti, and a CdS/CaFe 2 O 4 Z-scheme system. These studies showed that NNs had considerable promise for optimization of the synthesis of photocatalysts containing two materials, but that some of these models might be overfitted as the training sets were small.…”
Section: Application Of Machine Learning To Electrocatalysts and Phot...mentioning
confidence: 99%
“…Thus, this model can guide the optimization of experimental conditions in photocatalytic pollutant degradation. Kassahun et al employed NN models to optimize the synthesis conditions of the N-doped TiO 2 /SiO 2 heterojunction to get an optimum ciprofloxacin degradation efficiency under visible light . Similar NN approaches were extended to other systems such as S-doped g-C 3 N 4 /ZnO, g-C 3 N 4 /Ce-doped ZnO/Ti, and a CdS/CaFe 2 O 4 Z-scheme system. These studies showed that NNs had considerable promise for optimization of the synthesis of photocatalysts containing two materials, but that some of these models might be overfitted as the training sets were small.…”
Section: Application Of Machine Learning To Electrocatalysts and Phot...mentioning
confidence: 99%
“…Minitab, 284 Design Expert, 285 Statistica and MATLAB are popular software applications for employing DOE for physicochemical removal of pigments. 286…”
Section: Optimization Strategies For the Degradation Of Metal Sulfidesmentioning
confidence: 99%
“…Scientific studies have applied ML models to wastewater datasets to predict water quality, assess environmental impact, and evaluate treatment performance 57 62 . However, these studies often need more substantial evidence regarding the suitability of the chosen ML algorithm and utilize limited datasets, typically with few input variables.…”
Section: Introductionmentioning
confidence: 99%