4.8 Article

Hexagonal Boron Nitride as a Multifunctional Support for Engineering Efficient Electrocatalysts toward the Oxygen Reduction Reaction

Journal

NANO LETTERS
Volume 20, Issue 9, Pages 6807-6814

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.0c02782

Keywords

hexagonal boron nitride; heterostructure; interface engineering; oxygen reduction reaction; electrocatalysis

Funding

  1. Hundred Talents Program of Zhejiang University
  2. Australian Research Council (ARC) [DE160100596, DP200100365]
  3. China Scholarship Council (CSC)
  4. Australian Research Council [DE160100596] Funding Source: Australian Research Council

Ask authors/readers for more resources

Developing heterostructures with well-defined interfaces is attracting ever-increasing interest toward the development of advanced electrocatalysts. Herein, hexagonal boron nitride (h-BN) nanosheets are reported as a multifunctional support for constructing efficient electrocatalysts for the oxygen reduction reaction (ORR). h-BN/Pd heterostructured electrocatalysts with decent activity and long-term durability are designed and synthesized by confining Pd nanoparticles (NPs) on ultrathin h-BN nanosheets. The robust h-BN serves as a durable platform to maintain the structural integrity of the heterostructured catalysts. Both experimental findings and theoretical calculations reveal that the strong interaction between h-BN and Pd downshifts the Pd d-band center and hence optimizes the affinity with the reaction intermediates. Meanwhile, h-BN also endows the heterostructured catalysts with superhydrophobic surfaces, promoting the diffusion kinetics of O-2. These findings open a new avenue for the rational design and development of heterostructured catalysts by interface engineering toward electrocatalysis applications.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available