Literature DB >> 29220158

Mixed NiO/NiCo2O4 Nanocrystals Grown from the Skeleton of a 3D Porous Nickel Network as Efficient Electrocatalysts for Oxygen Evolution Reactions.

Chun Chang1,2, Lei Zhang1,3, Chan-Wei Hsu1, Xui-Fang Chuah1, Shih-Yuan Lu1.   

Abstract

Mixed NiO/NiCo2O4 nanocrystals grown in situ from the skeleton of a 3D porous nickel network (3DPNN) were prepared with a simple hydrothermal method followed by a low temperature calcination, exhibiting outstanding electrocatalytic efficiencies toward oxygen evolution reactions (OER). The 3DPNN was prepared with a novel leaven dough method and served as both the nickel source for growth of the mixed NiO/NiCo2O4 nanocrystals and the charge transport highway to accelerate the sluggish kinetics of the OER. The mixed NiO/NiCo2O4 nanocrystals exhibited pronounced synergistic effects to achieve a high mass activity of 200 A g-1 at the catalyst mass loading of 0.5 mg cm-2, largely outperforming the corresponding single component nanocrystal systems, NiO (5.87) and NiCo2O4 (9.35). The NiO/NiCo2O4@3DPNN composite electrocatalyst achieved a low overpotential of 264 mV at the current density of 10 mA cm-2 and 389 mV at the practically high current density of 250 mA cm-2, which compete favorably among the top tier of previously reported OER electrocatalysts. Moreover, it exhibited good stability even at the high current density of 250 mA cm-2, showing only 9.40% increase in working applied potential after a continuous 12 h operation. The present work demonstrates a new design for highly efficient OER catalysts with in situ growth of mixed oxide nanocrystals of pronounced synergistic effects.

Entities:  

Keywords:  3D porous nickel network; Ni foam; NiCo2O4; NiO; high current densities; mixed NiO/NiCo2O4 nanocrystals; oxygen evolution reaction

Year:  2017        PMID: 29220158     DOI: 10.1021/acsami.7b13127

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  1 in total

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Authors:  Zhigang Wang
Journal:  Comput Intell Neurosci       Date:  2022-02-12
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