Regulating charge transfer over 3D Au/ZnO hybrid inverse opal toward efficiently photocatalytic degradation of bisphenol A and photoelectrochemical water splitting

Zheng, Xiuzhen; Zhang, Zhuo; Meng, Sugang; Wang, Yaxiao; Li, Danzhen

doi:10.1016/j.cej.2020.124676

Cited by 91 publications

(43 citation statements)

References 50 publications

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“… 10 All five images are from the EMPS test set. (a) TEM of Au nanorods by He et al 59 reprinted from ref ( 59 ), Copyright (2019); (b) TEM of dendritic-like mesoporous silica by Chen et al 75 reprinted from ref ( 75 ), Copyright (2020); (c) SEM of polydisperse polystyrene spheres by Zheng et al 76 reprinted from ref ( 76 ), Copyright (2020); (d) TEM of Pt 3 Co nanoparticles by Rasouli et al 77 reprinted from ref ( 77 ), Copyright (2017); and (e) SEM of Pd nanocrystals by Navas et al 53 reprinted from ref ( 53 ), Copyright (2016). All with permission from Elsevier.…”

Section: Resultsmentioning

confidence: 99%

Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification

Yildirim

Cole

2021

J. Chem. Inf. Model.

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Automating the analysis portion of materials characterization by electron microscopy (EM) has the potential to accelerate the process of scientific discovery. To this end, we present a Bayesian deep-learning model for semantic segmentation and localization of particle instances in EM images. These segmentations can subsequently be used to compute quantitative measures such as particle-size distributions, radial- distribution functions, average sizes, and aspect ratios of the particles in an image. Moreover, by making use of the epistemic uncertainty of our model, we obtain uncertainty estimates of its outputs and use these to filter out false-positive predictions and hence produce more accurate quantitative measures. We incorporate our method into the ImageDataExtractor package, as ImageDataExtractor 2.0, which affords a full pipeline to automatically extract particle information for large-scale data-driven materials discovery. Finally, we present and make publicly available the Electron Microscopy Particle Segmentation (EMPS) data set. This is the first human-labeled particle instance segmentation data set, consisting of 465 EM images and their corresponding semantic instance segmentation maps.

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Section: Resultsmentioning

confidence: 99%

Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification

Yildirim

Cole

2021

J. Chem. Inf. Model.

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“…For example,Zheng et al, prepared 3D plasmonic Au/ZnO photocatalyst with inverse-opal structure via in-situ growth on the outer and inner of ZnO lattice. This spatial charge transference route between Au NPs and ZnO Schottky junction significantly enhanced the EHP separation efficiency and visible-light absorption as well(Zheng et al, 2020). ii.…”

mentioning

confidence: 87%

“…As solar energy is the primary renewable energy source on the earth, the only way to end human life dependence on fossil fuels and reduce the impact of fossil fuel combustion on the environment is to attain energy from the sun. By mimicking natural photosynthesis, which involves H 2 O, CO 2 , and sunlight to form oxygen and carbohydrates, artificial photosynthesis is proposed as an alternative way of high solar energy conversion effectiveness (Majumdar et al, 2017;Singh et al, 2014;Zhu and Wang, 2017). To potentially solve the problems mentioned above, photocatalytic conversion of CO 2 to H 2 O using solar energy and semiconductor (SC) photocatalyst into solar fuels, i.e., methanol (CH 3 OH), ethanol (C 2 H 5 OH), and hydrocarbons are considered as a sustainable approach, also known as artificial photosynthesis.…”

Section: Introductionmentioning

confidence: 99%

Boosting light-driven CO2 reduction into solar fuels: Mainstream avenues for engineering ZnO-based photocatalysts

Patial

Kumar

Raizada

et al. 2021

Environmental Research

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The realization of artificial photosynthesis in the photocatalytic CO 2 transformation into valuable chemicals or solar fuels, such as CO, CH 4 , HCOOH, and CH 3 OH, by solar-light harvesting is a promising solution to both global-warming and energy-supply issues. Recently, zinc oxide (ZnO) has emerged as an excellent oxidative photocatalyst among non-titanium metal oxides due to its availability, outstanding semiconducting and optical properties, non-toxicity, affordability, and ease of synthesis. However, ZnO wide bandgap and inability to absorb in the visible region has demanded particular modification for its practical use as a sustainable photocatalyst. This review provides a panorama of the latest advancement on ZnO photocatalysis for CO 2 reduction with an overview of fundamental aspects. Various modification strategies such as transition metal and non-metal doping, loading of plasmonic metals, and surface vacancy engineering for tunning the properties and improving the performance of ZnO are elaborated. Composites or hetero-structuralization-based Z-scheme formation is also presented along with a detailed photocatalytic reduction mechanism. Moreover, a new novel Step-scheme (Sscheme) heterostructure modification with a charge transfer pathway mechanism is also highlighted. Finally, the key challenges and new directions in this field are proposed to provide a new vision for further improvement for ZnO-based photocatalytic CO 2 conversion.

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“…Particularly, the use of photocatalytic water splitting for hydrogen production is an attractive strategy in the field of energy conversion with abundant solar energy, since the pioneering report of photoelectrochemical water splitting was published in 1972 [2]. Currently, a lot of photocatalysts, such as TiO 2 [3][4][5], WO 3 [6,7], g-C 3 N 4 [8][9][10], ZnO [11][12][13], and metal complexes [14][15][16], have been employed for the photocatalytic water splitting reaction. However, it has been demonstrated that most of these photocatalysts with wide band gaps are only active under UV irradiation.…”

Section: Introductionmentioning

confidence: 99%

Electrospinning Preparation of GaN:ZnO Solid Solution Nanorods with Visible-Light-Driven Photocatalytic Activity toward H2 Production

et al. 2021

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The development of a facile method for the synthesis of GaN:ZnO solid solution, an attractive material with a wurtzite-type structure, is vital to enhance its photocatalytic activity toward H2 evolution. Herein, GaN:ZnO solid solution nanorods with diameters of around 180 nm were fabricated by combining the electro-spun method with a sequentially calcinating process. Photocatalytic water-splitting activities of the as-obtained samples loaded with Rh2−yCryO3 co-catalyst were estimated by H2 evolution under visible-light irradiation. The as-prepared GaN:ZnO nanorods at a nitridation temperature of 850 °C showed the optimal performance. Careful characterization of the GaN:ZnO solid solution nanorods indicated that the nitridation temperature is an important parameter affecting the photocatalytic performance, which is related to the specific surface area and the absorbable visible-light wavelength range. Finally, the mechanism of the GaN:ZnO solid solution nanorods was also investigated. The proposed synthesis strategy paves a new way to realize excellent activity and recyclability of GaN:ZnO solid solution nanorod photocatalysts for hydrogen generation.

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Regulating charge transfer over 3D Au/ZnO hybrid inverse opal toward efficiently photocatalytic degradation of bisphenol A and photoelectrochemical water splitting

Cited by 91 publications

References 50 publications

Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification

Bayesian Particle Instance Segmentation for Electron Microscopy Image Quantification

Boosting light-driven CO2 reduction into solar fuels: Mainstream avenues for engineering ZnO-based photocatalysts

Electrospinning Preparation of GaN:ZnO Solid Solution Nanorods with Visible-Light-Driven Photocatalytic Activity toward H2 Production

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