Synergy of Z-scheme heterostructure with interfacial S−O bonding in In2S3/BiOBr for efficient tetracycline hydrochloride degradation and Cr(VI) reduction

Fu, Xiaofei; Tao, Junwu; He, Zuming; Gao, Yong; Xia, Yongmei; Zhao, Zizhou

doi:10.1016/j.jallcom.2022.168202

Cited by 37 publications

(7 citation statements)

References 49 publications

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“…The photocatalytic performance of each value can be reliably predicted within the range of each parameter, but it is difficult to predict accurately beyond this range [122]. Similarly, the emergence of many new photocatalysts and some new parameter variables makes the simulation prediction of neural networks more complicated, which requires the development of some new neural network models to adapt to the rapid development of photocatalysis research [123][124][125].…”

Section: The Intelligent Algorithm Optimizes the Absorbance Curve And...mentioning

confidence: 99%

“…Simultaneously, the neural network model has a certain pred range when predicting the photocatalytic performance of the photocatalyst, which fluenced by the selected training parameters, prediction accuracy, and reliability photocatalytic performance of each value can be reliably predicted within the ran each parameter, but it is difficult to predict accurately beyond this range [122]. Sim the emergence of many new photocatalysts and some new parameter variables mak simulation prediction of neural networks more complicated, which requires the dev ment of some new neural network models to adapt to the rapid development of ph talysis research [123][124][125]. [122].…”

Section: The Intelligent Algorithm Optimizes the Absorbance Curve And...mentioning

confidence: 99%

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Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

Wang,

Mo,

et al. 2024

Catalysts

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Photocatalysts have made great contributions to the degradation of pollutants to achieve environmental purification. The traditional method of developing new photocatalysts is to design and perform a large number of experiments to continuously try to obtain efficient photocatalysts that can degrade pollutants, which is time-consuming, costly, and does not necessarily achieve the best performance of the photocatalyst. The rapid development of photocatalysis has been accelerated by the rapid development of artificial intelligence. Intelligent algorithms can be utilized to design photocatalysts and predict photocatalytic performance, resulting in a reduction in development time and the cost of new catalysts. In this paper, the intelligent algorithms for photocatalyst design and photocatalytic performance prediction are reviewed, especially the artificial neural network model and the model optimized by an intelligent algorithm. A detailed discussion is given on the advantages and disadvantages of the neural network model, as well as its application in photocatalysis optimized by intelligent algorithms. The use of intelligent algorithms in photocatalysis is challenging and long term due to the lack of suitable neural network models for predicting the photocatalytic performance of photocatalysts. The prediction of photocatalytic performance of photocatalysts can be aided by the combination of various intelligent optimization algorithms and neural network models, but it is only useful in the early stages. Intelligent algorithms can be used to design photocatalysts and predict their photocatalytic performance, which is a promising technology.

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Section: The Intelligent Algorithm Optimizes the Absorbance Curve And...mentioning

confidence: 99%

Section: The Intelligent Algorithm Optimizes the Absorbance Curve And...mentioning

confidence: 99%

Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

Wang,

Mo,

et al. 2024

Catalysts

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“…[62,63] Finally, through aromatic ring cleavage, P5 and P13 intermediates could yield small molecular compounds such as + NH 4 , CO 2 , and H 2 O. [64] In this work, the CS/CCO composites with yolk-shell microspheres were successfully synthesized via hydrothermal and annealing methods. These microspheres exhibited excellent photocatalytic degradation of CBZ.…”

Section: Degradation Pathway and Fukui Indexmentioning

confidence: 99%

Construction of Cu₇S₄@CuCo₂O₄ Yolk–Shell Microspheres Composite and Elucidation of Its Enhanced Photocatalytic Activity, Mechanism, and Pathway for Carbamazepine Degradation

Yang

Wong

et al. 2023

Small

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supervision, funding acquisition, data collection, and validation. N.H.W. contributed to the formal analysis, writing-review and editing. L.E. contributed to the writing-review and editing. J.S. contributed to the formal analysis, writing-review and editing. Z.H. contributed to the formal analysis, writing-review and editing, and validation. Y.X. contributed to the writing-review and editing. Y.W. contributed to the writing-review and editing. J.S. contributed to the formal analysis and editing. X.F. contributed to the methodology and software. M.W. contributed to the formal analysis. All authors have approved the final version of the manuscript.

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“…13 In particular, constructing a Zscheme heterojunction has been recognized as an excellent tactic for increasing the charge separation efficiency and the redox capacity upon photoexcitation. 14,15 heterojunction was conducive to broadening the light-harvesting capacity and prolonging the carrier lifetime. 12 Herein, the simple and low-cost visible-light-driven photocatalyst should be coupled with TS-1 to accelerate the photoactivity.…”

Section: ■ Introductionmentioning

confidence: 99%

“…Constructing heterostructures of TS-1 with another visible-light-responsive semiconductor is favorable to improving its photoactivity . In particular, constructing a Z-scheme heterojunction has been recognized as an excellent tactic for increasing the charge separation efficiency and the redox capacity upon photoexcitation. , For instance, Shang et al synthesized TS-1/C 3 N 4 heterojunction photocatalysts exhibiting an excellent ofloxacin photodegradation property of 82.92% within 30 min, possibly since the construction of a heterojunction was conducive to broadening the light-harvesting capacity and prolonging the carrier lifetime . Herein, the simple and low-cost visible-light-driven photocatalyst should be coupled with TS-1 to accelerate the photoactivity.…”

Section: Introductionmentioning

confidence: 99%

Constructing a Titanium Silicon Molecular Sieve-Based Z-Scheme Heterojunction with Enhanced Photocatalytic Activity

Ma,

Yan,

Mao

et al. 2024

Langmuir

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Titanium silicon molecular sieve (TS-1) is an oxidation catalyst that possesses a long lifetime of charge transfer excited state, high Ti utilization efficiency, large specific surface area, and good adsorption property; therefore, TS-1 acts as a Tibased photocatalyst candidate. In this work, TS-1 coupled Bi 2 MoO 6 (TS-1/BMO) photocatalysts were fabricated via a facile hydrothermal route. Interestingly, the optimized TS-1/BMO-1.0 catalyst exhibited a decent photodegradation property toward tetracycline hydrochloride (85.49% in 120 min) under the irradiation of full spectrum light, which were 4.38 and 1.76 times compared to TS-1 and BMO, respectively. The enhanced photodegradation property of the TS-1/BMO-1.0 catalyst could be attributed to the reinforced light-harvesting capacity of the photocatalyst, high charge mobility, and suitable band structure for tetracycline hydrochloride degradation. In addition, the mechanism of photocatalytic degradation of tetracycline hydrochloride by the TS-1/BMO-1.0 catalyst was reasonably proposed based on the band structure, trapping, and ESR tests. This research provided feasible ideas for the design and construction of highefficiency photocatalysts for contaminant degradation.

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Synergy of Z-scheme heterostructure with interfacial S−O bonding in In2S3/BiOBr for efficient tetracycline hydrochloride degradation and Cr(VI) reduction

Cited by 37 publications

References 49 publications

Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

Construction of Cu₇S₄@CuCo₂O₄ Yolk–Shell Microspheres Composite and Elucidation of Its Enhanced Photocatalytic Activity, Mechanism, and Pathway for Carbamazepine Degradation

Constructing a Titanium Silicon Molecular Sieve-Based Z-Scheme Heterojunction with Enhanced Photocatalytic Activity

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Synergy of Z-scheme heterostructure with interfacial S−O bonding in In2S3/BiOBr for efficient tetracycline hydrochloride degradation and Cr(VI) reduction

Cited by 37 publications

References 49 publications

Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

Intelligent Algorithms Enable Photocatalyst Design and Performance Prediction

Construction of Cu7S4@CuCo2O4 Yolk–Shell Microspheres Composite and Elucidation of Its Enhanced Photocatalytic Activity, Mechanism, and Pathway for Carbamazepine Degradation

Constructing a Titanium Silicon Molecular Sieve-Based Z-Scheme Heterojunction with Enhanced Photocatalytic Activity

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Construction of Cu₇S₄@CuCo₂O₄ Yolk–Shell Microspheres Composite and Elucidation of Its Enhanced Photocatalytic Activity, Mechanism, and Pathway for Carbamazepine Degradation