The impact of oxygen vacancies on charge carrier transfer on TiO2 photoanodes is rationally discussed in this work.

The exploration of high efficient and stable visible light-driven photocatalysts for water splitting into green energy hydrogen has been considered as one of the currently most challenging topics for solving the energy crisis and environmental remediation. In this paper, a series of ternary AgBr/polyoxometalate/graphene oxide (AgBr/POM/GO) composites (POMs = {PMo 12 }, {PW 12 }, {SiW 12 }, {P 2 W 18 }, and {P 2 Mo 18 }) were synthesized via an ionic liquid-assisted hydrothermal method. The successful combination of ternary AgBr/POM/GO composites has been determined by a series of techniques. In addition, such ternary nanocomposites displayed wide visible light absorption ranges. Photocatalytic experiments demonstrate that such AgBr/POM/GO ternary composites display remarkable photocatalytic activity for hydrogen production, and the photocatalytic performance can be regulated by the species of POMs. Under minimally optimized conditions, the average hydrogen evolution rates were 256.0 μmol g −1 h −1 for AgBr/PMo 12 /GO, 223.2 μmol g −1 h −1 for AgBr/PW 12 /GO, 212.0 μmol g −1 h −1 for AgBr/SiW 12 /GO, 207.2 μmol g −1 h −1 for AgBr/P 2 W 18 /GO, and 177.2 μmol g −1 h −1 for AgBr/P 2 Mo 18 /GO, respectively. Both AgBr and POMs can be excited under the irradiation, greatly improving the visible light adsorption of the nanocomposites. Moreover, the adoption of POMs enhances the photochemical performance of the ternary nanocomposites because of their excellent redox properties and good photogenerated-electron/holes generation capacities. This work presents an efficient POM-based photocatalyst system for photocatalytic hydrogen production, which may provide important guidance for the design and exploration of efficient photocatalytic materials.

This paper contains details on the micellization, surface activity properties, thermodynamics and effects of additives of [Cnmpy][Br].

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In order to study the role of English situational teaching in higher vocational colleges, based on information technology and artificial intelligence, this research combines with the needs of English teaching to construct a English situation teaching in higher vocational colleges with the support of 5G network technology and artificial intelligence. Moreover, this research builds a data processing model based on the system architecture diagram of cache placement, uses storage space and computing resources to save more backhaul link bandwidth, and adopts the “many to many” algorithm extended by the “one to many” algorithm, and uses the on-demand method to obtain scenario teaching data from the cloud. In addition, this research constructs the intermediate link of data processing, and uses 5G network transmission to solve the problem of data transmission speed. Finally, this study uses a controlled experiment to evaluate the effectiveness of the artificial intelligence teaching model constructed in this study. The research shows that the English situation teaching method based on 5G network technology and artificial intelligence in vocational colleges has a certain effect and can effectively improve the English scores of vocational college students.