Literature DB >> 35041283

Interfacial Microenvironment Modulation Enhancing Catalytic Kinetics of Binary Metal Sulfides Heterostructures for Advanced Water Splitting Electrocatalysts.

Yongteng Qian1,2, Jianmin Yu3, Ya Zhang4, Fangfang Zhang5, Yingbo Kang6, Chenliang Su3, Hu Shi4, Dae Joon Kang2, Huan Pang1.   

Abstract

Interfacial microenvironment modulation has been proven to be a promising route to fabricate highly efficient catalysts. In this work, the lattice defect-rich NiS2 /MoS2 nanoflakes (NMS NFs) electrocatalysts are successfully synthesized by a simple strategy. Benefiting from the abundant lattice defects and modulated interfacial microenvironment between NiS2 and MoS2 , the prepared NMS NFs show superior catalytic activity for water splitting. Particularly, the optimized NMS NFs (the molar ratio of Ni:Mo = 5:5) exhibit remarkable catalytic activity toward overall water splitting with a voltage of 1.60 V at 10 mA cm-2 in alkaline media, which is lower than that of the noble-metal-based electrocatalysts (1.68 V at 10 mA cm-2 ). The NMS NFs electrocatalysts also show exceptional long-term stability (>50 h) for overall water splitting. The density functional theory results demonstrate that the injection of NiS2 into MoS2 can greatly optimize the catalytic kinetics and reduce the energy barrier for hydrogen/oxygen evolution reactions. The work does not only offer a promising candidate for a highly efficient water splitting electrocatalyst but also highlights that interfacial microenvironment modulation is a potential strategy to optimize the catalytic kinetics.
© 2021 Wiley-VCH GmbH.

Entities:  

Keywords:  MoSzzm3219902; NiSzzm3219902; density functional theory; interfacial microenvironment modulation; overall water splitting

Year:  2021        PMID: 35041283     DOI: 10.1002/smtd.202101186

Source DB:  PubMed          Journal:  Small Methods        ISSN: 2366-9608


  1 in total

1.  Cu2S Nanoflakes Decorated with NiS Nanoneedles for Enhanced Oxygen Evolution Activity.

Authors:  Le Wang; Mancong Li; Yingxin Lyu; Jiawen Liu; Jimin Du; Dae Joon Kang
Journal:  Micromachines (Basel)       Date:  2022-02-09       Impact factor: 2.891

  1 in total

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