4.7 Article

Facet-Controlled PdP Nanosheets for Ethanol Electrooxidation

期刊

ACS APPLIED ENERGY MATERIALS
卷 -, 期 -, 页码 -

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsaem.2c01480

关键词

nanosheets; facet-controlled; PdP alloy; catalysis; ethanol oxidation reaction

资金

  1. Natural Science Foundation of Jiangsu Province [BK20191366]
  2. National Natural Science Foundation of China [22075147, 21671106]
  3. Priority Academic Program Development of Jiangsu Higher Education Institutions
  4. National and Local Joint Engineering Research Center of Biomedical Functional Materials

向作者/读者索取更多资源

The performance of ultrathin PdP nanosheets with different crystal facets in the electrocatalytic ethanol oxidation reaction was studied. It was found that the {100} facet exhibited the highest mass activity and stability, demonstrating the significant influence of crystal facets on the reaction performance.
Understanding the contribution of crystal facets to the adsorption/ desorption behavior of catalytic reaction intermediates is crucial for the design of highperformance electrocatalysts. In this work, we designed a synthesis strategy for ultrathin PdP nanosheets enclosed by different low-index facets, for example, {100}, {110}, and {111}, and studied their performance for electrocatalytic ethanol oxidation reaction (EOR). The results showed that the mass activity of the PdP nanosheets enclosed by the {100} facet was 4.07 A/mg, which was 1.43, 2.56, and 5.58 times as high as that of the PdP {110}, PdP {111}, and commercial Pd/C, respectively. Additionally, the PdP {100} displayed the best stability and the lowest activation energy (E-a), which further proved that the atomic configuration on the crystallographic {100} facet was greatly beneficial for EOR. The universality of this synthesis strategy was shown by producing nanocrystals with various amounts of P doping and elemental compositions (e.g., {100}-exposed PdAgP, PdAuP, PdCuP, and PdPtP).

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

4.7
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