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It is still a challenge to develop electrocatalyst for the efficient adsorption and conversion of organic molecule in aqueous media. Herein, a hetero‐interface structure based on CuO@Ni(OH)2 is rationally designed to enhance the performance of benzyl alcohol oxidation to benzoic acid. A high Faradaic efficiency of 99% and the yield of 3.09 mmol cm−2 h−1 are achieved at 1.70 V versus reversible hydrogen electrode, outperforming the previously reported electrocatalysts. Furthermore, a membrane‐free flow electrolyzer was assembled based on CuO@Ni(OH)2 hetero‐interface, exhibiting a much high yielding of benzoic acid (6.73 mmol cm−2 h−1) and hydrogen (0.35 L cm−2 h−1) with excellent stability. Both experimental data and density functional theory calculations verify that the electron is tend to accumulate at the hetero‐interface, thus accelerating the adsorption of reactant and intermediate and reducing the energy barrier of the conversion of benzyl alcohol to benzoic acid. [ABSTRACT FROM AUTHOR]

Sustainable energy-powered carbon dioxide (CO2) electroreduction into methane (CH4) under ambient conditions holds great promise for achieving carbon neutrality and mitigating environmental pollution. Despite the significant advancements in this field, the unsatisfactory selectivity and stability remain the major obstacles to its large-scale applications. With this background, we present a comprehensive summary of recent progress and future opportunities of CO2 electroreduction into CH4. Firstly, we delve into the elucidation of the reaction mechanism involved in CO2 electroreduction into CH4. A thorough understanding of the individual steps within this process is paramount for designing electrocatalysts and improving selectivity and efficiency. In particular, the development of advanced electrocatalysts (such as copper-based materials, carbon-based materials and other materials) for CO2 electroreduction into CH4 is elaborated. Meanwhile, a special focus has been placed on the enhanced strategies, including coordination environment manipulation, element doping, surface modification, and morphology engineering, for CO2 electroreduction into CH4. Finally, the future challenges of CO2 electroreduction into CH4 are proposed. The review aims to serves as a guiding framework for systematic exploration and optimization of electrocatalysts, thus fostering the development and advancement of CO2 electroreduction into CH4. [ABSTRACT FROM AUTHOR]

Single‐atom catalysts (SACs) exhibit intriguing performance in electrocatalysis owing to their maximized atom utilizations and unique electronic structures, but effective anchoring metal atoms with defined coordination structure on hierarchical integrated electrode remain a challenge. Herein, a fast and facial flame‐assisted strategy is developed to construct oxygen‐coordinated SACs on integrated carbon nanotube (CNT) arrays with promising applications in electrocatalysis. Density functional theory calculations show that oxygen in carbon substrate imparts homogeneous sites for the efficient anchoring of metal atoms, thereby enabling SACs to disperse uniformly and firmly and thus bringing optimized activities. Moreover, the integrated CNT array with abundant oxygen‐containing groups is constructed and has been used as an efficient matrix for anchoring metal atoms (CNT‐O@M) via a flame‐assisted method. The as‐prepared CNT‐O@M (M = Co and Pt as typical examples) shows excellent activities in electrocatalytic oxygen reduction reaction and hydrogen evolution reaction with utilization of active site as high as 75.7%, which is superior to the reported SACs. Particularly, the performance of CNT‐O@M can maintain stably under various harsh conditions, showing a promising prospect in the long‐time applications. The methodology and concept proposed in this work could be extended to the synthesis of a variety of integrated SACs for efficient electrocatalysis. [ABSTRACT FROM AUTHOR]

Li, M. and Xie, W., 2019. Remote sensing image matching algorithm for coastal zone based on local features. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 723–728. Coconut Creek (Florida), ISSN 0749-0208. In order to improve the high resolution digital imaging ability of coastal remote sensing image, a pixel spatial fusion feature matching method based on local feature adaptive feature matching is proposed. The edge profile feature detection and pixel reconstruction model of coastal remote sensing image is constructed, and the multi-level feature decomposition and pixel region profile feature detection of coastal remote sensing image are carried out. The optimal high spatial resolution feature of coastal zone remote sensing image is extracted, and the high spatial edge profile feature extraction and block segmentation of coastal zone remote sensing image are carried out by using similarity information fusion and image region reconstruction methods. The target block matching and overlapping region high resolution reconstruction of coastal zone remote sensing image are carried out based on approximate sparse representation method, and the pixel spatial fusion feature matching of coastal zone remote sensing image is carried out under the constraint of high resolution. The simulation results show that the fusion degree of pixel spatial fusion feature matching of coastal remote sensing image is high, the reconstruction quality of image is good, the peak signal-to-noise ratio of output is high, the matching output quality of coastal remote sensing image is good, and it has good image resolution and detection ability. [ABSTRACT FROM AUTHOR]