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Zinc ion induced three-dimensional Co_9S_8 nano-neuron network for efficient hydrogen evolution

机译:锌离子诱导三维CO_9S_8纳米神经元网络,用于高效氢气进化

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摘要

As the cost-effective and nontoxic alternative for hydrogen evolution reaction (HER), Co9S8 has attracted much attention. This paper explores the regulation of Zn doping impacted the unique nanostructure and electrocatalytic performance on Co9S8. Herein, utilizing copper foam (CF) as substrate, a series of different nanostructure of (Zn-)Co9S8@CF has been synthesized by accurately varying the ratio of Zn2thorn to Co2+. Compared with aggregated pure Co9S8 and other different ratios contrast samples, ZneCo(9)S(8)@CF(1-1) with a zinc to cobalt ratio of 1 possesses highly dispersity which can be attributed to the novel nano-neuron network structure. The electrochemical measurements for HER demonstrate that Zn -Co9S8@CF-(1-1) not only reveals superior activity with small overpotentials to achieve a current density of 10 mA cm(-2) in acidic (278 mV) and alkaline (273 mV) media, but also exhibits long-time durability in the solution with a wide range of pH. The excellent performance of Zn-Co9S8@CF-(1-1) can be attributed to the unique reticular structure which can facilitate exposure of numerous active sites and favorable long-term stability. The substrate of three-dimensional CF can provide the remarkable conductivity. This work provides a precise and effective approach to regulate three-dimensional nanostructure of Zn-doped electrocatalysts for HER. (C) 2020 Elsevier Ltd. All rights reserved.
机译:作为氢进化反应(她)的成本效益和无毒的替代方案,CO9S8引起了很多关注。本文探讨了Zn掺杂的调节,影响了CO9S8上独特的纳米结构和电催化性能。这里,利用铜泡沫(CF)作为底物,通过精确地改变Zn2thorn至CO2 +的比例,已经合成了一系列不同的(Zn-)CO9S8 @ CF的纳米结构。与聚集的纯CO9S8和其他不同的比率对比度样品相比,Zneco(9)S(8)@CF(1-1)与锌的含量为1的钴比具有高度分散性,其可归因于新颖的纳米神经元网络结构。她的电化学测量证明Zn -CO9S8 @ CF-(1-1)不仅揭示了具有小型过电位的优异活性,以实现酸性(278mV)和碱性(273mV)的10 mA cm(-2)的电流密度(273mV )介质,但也在溶液中表现出很多pH值的长时间耐久性。 Zn-CO9S8 @ CF-(1-1)的优异性能可归因于独特的网状结构,其可以促进众多活性位点和有利的长期稳定性。三维CF的基板可以提供显着的导电性。这项工作提供了一种精确有效的方法来调节Zn掺杂电催化剂的三维纳米结构。 (c)2020 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2020年第9期|415-423|共9页
  • 作者单位

    China Univ Petr East China Coll Sci State Key Lab Heavy Oil Proc Qingdao 266580 Peoples R China;

    China Univ Petr East China Coll Sci State Key Lab Heavy Oil Proc Qingdao 266580 Peoples R China;

    China Univ Petr East China Coll Sci State Key Lab Heavy Oil Proc Qingdao 266580 Peoples R China;

    China Univ Petr East China Coll Sci State Key Lab Heavy Oil Proc Qingdao 266580 Peoples R China;

    China Univ Petr East China Coll Sci State Key Lab Heavy Oil Proc Qingdao 266580 Peoples R China;

    China Univ Petr East China Coll Sci State Key Lab Heavy Oil Proc Qingdao 266580 Peoples R China;

    China Univ Petr East China Coll Sci State Key Lab Heavy Oil Proc Qingdao 266580 Peoples R China;

    Yantai Univ Sch Chem & Chem Engn Lab Theoret & Computat Chem Yantai 264005 Peoples R China;

    China Univ Petr East China Coll Sci State Key Lab Heavy Oil Proc Qingdao 266580 Peoples R China;

    China Univ Petr East China Coll Sci State Key Lab Heavy Oil Proc Qingdao 266580 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Zn-doping; Co9S8; Nano-neuron network; Hydrogen evolution reaction; Electrocatalyst;

    机译:Zn-掺杂;CO9S8;纳米神经元网络;氢气进化反应;电催化剂;

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