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In situ synthesis of NiSe@CoP core–shell nanowire arrays on nickel foam as a highly efficient and robust electrode for electrochemical hydrogen generation in both alkaline and acidic media

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Abstract

The efficient generation of hydrogen through the electro-splitting of water has attracted great attention. To design highly efficient and low-cost electrocatalysts for the hydrogen evolution reaction (HER) to lower the overpotential and enhance the reaction rate is of great importance for electrochemical water splitting. However, the development of low-cost and efficient electrocatalysts for the hydrogen evolution reaction is still a major challenge. In this paper, we have fabricated NiSe@CoP nanowires with a core–shell structure array grown on nickel foam (NF), denoted as NiSe@CoP NWs/NF, via a low temperature phosphorization reaction. This 3D core–shell structure catalytic electrode provides synergistic effects, a large number of active sites, fast electron transport and enhanced electrochemical durability, resulting in a remarkable HER activity that delivers overpotentials of 91 mV and 73 mV at a current density of 10 mA cm−2 in 1.0 M KOH and 0.5 M H2SO4, respectively. Notably, the NiSe@CoP NW/NF electrode shows excellent stability evaluated by 1000 potential cycles and operation with a high current density at a fixed potential for 12 h in 0.5 M H2SO4 and 1.0 M KOH, respectively.

Graphical abstract: In situ synthesis of NiSe@CoP core–shell nanowire arrays on nickel foam as a highly efficient and robust electrode for electrochemical hydrogen generation in both alkaline and acidic media

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Publication details

The article was received on 08 Aug 2017, accepted on 31 Oct 2017 and first published on 31 Oct 2017


Article type: Communication
DOI: 10.1039/C7CY01606A
Citation: Catal. Sci. Technol., 2018, Advance Article
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    In situ synthesis of NiSe@CoP core–shell nanowire arrays on nickel foam as a highly efficient and robust electrode for electrochemical hydrogen generation in both alkaline and acidic media

    Y. Xu, C. Yuan, Z. Liu and X. Chen, Catal. Sci. Technol., 2018, Advance Article , DOI: 10.1039/C7CY01606A

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