Ruilian Yin, Zhiwei Wang, Jin Zhang, Wenxian Liu, Jia He, Guangzhi Hu, Xijun Liu
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引用次数: 0
Abstract
Urea-assisted water splitting is a promising energy-saving hydrogen (H2) production technology. However, its practical application is hindered by the lack of high-performance bifunctional catalysts for urea oxidation reaction (UOR) and hydrogen evolution reaction (HER). Herein, a heterostructured catalyst comprising highly active NiSe and Ni3Se2, along with a conductive graphene-coated nickel foam skeleton (NiSe-Ni3Se2/GNF) is reported. The heterostructured NiSe-Ni3Se2 originates from the in situ selenization of graphene-coated nickel foam, allowing for careful regulation of the NiSe to Ni3Se2 ratio by simply adjusting the calcination temperature. Theoretical calculations of the charge transfer between NiSe and Ni3Se2 components can optimize the reaction pathways and reduce the corresponding energy barriers. Accordingly, the designed catalyst exhibits excellent UOR and HER activity and stability. Furthermore, the NiSe-Ni3Se2/GNF-based UOR-HER electrolyzer requires only 1.54 V to achieve a current density of 50 mA cm-2, which is lower than many recent reports and much lower than 1.83 V of NiSe-Ni3Se2/GNF-based OER-HER electrolyzers. Moreover, the UOR-HER electrolyzer exhibited negligible cell voltage variation during a 28-h stability test, indicating satisfactory stability, which provides a new viable paradigm for energy-saving H2 production.
Small MethodsMaterials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍:
Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques.
With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community.
The online ISSN for Small Methods is 2366-9608.