Literature DB >> 30144267

Heavily Doped and Highly Conductive Hierarchical Nanoporous Graphene for Electrochemical Hydrogen Production.

Linghan Chen1, Jiuhui Han1, Yoshikazu Ito2,3, Takeshi Fujita1, Gang Huang1, Kailong Hu1,2, Akihiko Hirata1, Kentaro Watanabe1, Mingwei Chen1,4.   

Abstract

Heavy chemical doping and high electrical conductivity are two key factors for metal-free graphene electrocatalysts to realize superior catalytic performance toward hydrogen evolution. However, heavy chemical doping usually leads to the reduction of electrical conductivity because the catalytically active dopants give rise to additional electron scattering and hence increased electrical resistance. A hierarchical nanoporous graphene, which is comprised of heavily chemical doped domains and a highly conductive pure graphene substrate, is reported. The hierarchical nanoporous graphene can host a remarkably high concentration of N and S dopants up to 9.0 at % without sacrificing the excellent electrical conductivity of graphene. The combination of heavy chemical doping and high conductivity results in high catalytic activity toward electrochemical hydrogen production. This study has an important implication in developing multi-functional electrocatalysts by 3D nanoarchitecture design.
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  chemical doping; chemical vapor deposition; electrical conductivity; graphene; hydrogen evolution reaction

Year:  2018        PMID: 30144267     DOI: 10.1002/anie.201809315

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  2 in total

1.  Rationally engineered active sites for efficient and durable hydrogen generation.

Authors:  Yurui Xue; Lan Hui; Huidi Yu; Yuxin Liu; Yan Fang; Bolong Huang; Yingjie Zhao; Zhibo Li; Yuliang Li
Journal:  Nat Commun       Date:  2019-05-23       Impact factor: 14.919

2.  3D Printing of Hot Dog-Like Biomaterials with Hierarchical Architecture and Distinct Bioactivity.

Authors:  Tian Li; Dong Zhai; Bing Ma; Jianmin Xue; Pengyu Zhao; Jiang Chang; Michael Gelinsky; Chengtie Wu
Journal:  Adv Sci (Weinh)       Date:  2019-08-08       Impact factor: 16.806

  2 in total

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