4.8 Article

Operando Phonon Studies of the Protonation Mechanism in Highly Active Hydrogen Evolution Reaction Pentlandite Catalysts

期刊

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
卷 139, 期 41, 页码 14360-14363

出版社

AMER CHEMICAL SOC
DOI: 10.1021/jacs.7b07902

关键词

-

资金

  1. US National Science Foundation [NSF Chemistry 1213182, NSF-DMR 1207065]
  2. Deutsche Forschungsgemeinschaft (DFG) through the Cluster of Excellence RESOLV at RUB [EXC 1069]
  3. U.S. Department of Energy (DOE) Office of Science User Facility [DE-AC02-06CH11357]
  4. Fonds der Chemischen Industrie (FCI) (Liebig grant)
  5. DFG [AP242/2-1]
  6. Direct For Mathematical & Physical Scien
  7. Division Of Chemistry [1213182] Funding Source: National Science Foundation

向作者/读者索取更多资源

Synthetic pentlandite (Fe4.5Ni4.5S8) is a promising electrocatalyst for hydrogen evolution, demonstrating high current densities, low overpotential, and remarkable stability in bulk form. The depletion of sulfur from the surface of this catalyst during the electrochemical reaction has been proposed to be beneficial for its catalytic performance, but the role of sulfur vacancies and the, mechanism determining the reaction kinetics are still unknown.. We have performed electrochemical operando studies of the vibrational dynamics of pentlandite under hydrogen evolution reaction conditions using Fe-57 nuclear resonant inelastic X-ray scattering. Comparing the measured Fe partial-vibrational density of states with density functional theory calculations, we have demonstrated that hydrogen atoms preferentially occupy substitutional positions replacing pre-existing sulfur vacancies. Once all vacancies are filled, the protonation proceeds interstitially, which slows down the reaction. Our results highlight the beneficial role of sulfur vacancies in the electrocatalytic performance of pentlandite and give insights into the hydrogen adsorption mechanism during the reaction.

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