4.8 Article

Fe, Al-co-doped NiSe2 nanoparticles on reduced graphene oxide as an efficient bifunctional electrocatalyst for overall water splitting

期刊

NANOSCALE
卷 12, 期 25, 页码 13680-13687

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/d0nr02881a

关键词

-

资金

  1. Taishan Scholar Program of Shandong Province, China [ts201712045]
  2. Shandong Provincial Key Research and Development Program (SPKRDP) [2018GGX104001, 2019GGX102069]
  3. Natural Science Foundation of Shandong Province of China [ZR2017MB054, ZR2018BB008]
  4. Chinese Postdoctoral Science Foundation [2018M642623]
  5. Doctoral Fund of QUST [0100229001, 010029081]
  6. Ulsan National Institute of Science and Technology (UNIST) [1.190002.01]

向作者/读者索取更多资源

Developing low-cost and highly efficient electrocatalysts for overall water splitting is of far-reaching significance for new energy conversion. Herein, dual-cation Fe, Al-co-doped NiSe(2)nanoparticles on reduced graphene oxide (Fe, Al-NiSe2/rGO) were prepared as a bifunctional electrocatalyst for overall water splitting. The dual-cation doping can induce a stronger electronic interaction between the foreign atoms and host catalyst, for optimizing the adsorption energy of reaction intermediates. Meanwhile, the leaching out of Al from the crystal structure of the target product during the alkaline wash creates more defects and increases the active site exposure. As a result, the Fe, Al-NiSe2/rGO catalyst exhibits excellent catalytic activities for both the OER and HER with an overpotential of 272 mV @eta(10)for the OER in 1.0 M KOH and 197 mV @eta(10)for the HER in 0.5 M H2SO4, respectively. A two-electrode electrolyzer using Fe, Al-NiSe2/rGO as the anode and cathode shows a low voltage of 1.70 V at the current density of 10 mA cm(-2). This study emphasizes the synergistic contribution of the dual-cation co-doping effect and more defects created by Al leaching to boost the performance of water splitting.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据