中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Vapor-assisted synthesis of hierarchical porous graphitic carbon materials towards energy storage devices

文献类型:期刊论文

作者Liu, Zhaoping3,4; Feng, Jiwen2; Zhou, Xufeng3,4; Deng, Wei3,4; Jiang, Ping1,2,3,4
刊名JOURNAL OF POWER SOURCES
出版日期2019-06-15
卷号425页码:10-16
关键词Porous carbon material Hierarchical pore structure High graphitization degree Vapor-assisted synthesis Electrochemical energy storage
ISSN号0378-7753
DOI10.1016/j.jpowsour.2019.03.117
英文摘要Hierarchical porous graphitic carbon material is obtained by one-step vapor-assisted catalytic graphitization accompanied with chemical activation of phenolic resin. Water vapor is used to enhance the catalytic graphitization process by etching carbon layers coated on metal nanocatalysts to maintain their high catalytic activity, and the resultant hydrogen and carbon monoxide as strong reduction gases arising from water-gas shift reaction can promote the transformation of metal ions to metal catalysts. Thus, the resultant graphitic carbon exhibits hierarchical pore structure, large surface area and high graphitic degree, which is advantageous over conventional activated carbon materials in electrochemical energy storage. The applications of hierarchical porous graphitic carbon as electrode materials for supercapacitors, and host for sulfur in lithium-sulfur cells is demonstrated, which shows remarkably enhanced electrochemical performance due to the unique structure.
WOS关键词LITHIUM-SULFUR BATTERIES ; GRAPHENE ; ACTIVATION ; CAPACITORS ; NAOH ; KOH
资助项目National Key R&D Program of China[2016YFF0204302] ; National Natural Science Foundation of China[51872305] ; National Natural Science Foundation of China[11474314] ; National Natural Science Foundation of China[21603267] ; Key R&D Program of Zhejiang Province[2018C01049]
WOS研究方向Chemistry ; Electrochemistry ; Energy & Fuels ; Materials Science
语种英语
WOS记录号WOS:000468717900002
出版者ELSEVIER SCIENCE BV
资助机构National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key R&D Program of Zhejiang Province ; Key R&D Program of Zhejiang Province ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key R&D Program of Zhejiang Province ; Key R&D Program of Zhejiang Province ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key R&D Program of Zhejiang Province ; Key R&D Program of Zhejiang Province ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key R&D Program of Zhejiang Province ; Key R&D Program of Zhejiang Province
源URL[http://ir.wipm.ac.cn/handle/112942/13664]  
专题中国科学院武汉物理与数学研究所
通讯作者Liu, Zhaoping; Feng, Jiwen; Zhou, Xufeng
作者单位1.Univ Chinese Acad Sci, Beijing 100000, Peoples R China
2.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan 430071, Hubei, Peoples R China
3.Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, Adv Li Ion Battery Engn Lab, Ningbo 315201, Zhejiang, Peoples R China
4.Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, Key Lab Graphene Technol & Applicat Zhejiang Prov, Ningbo 315201, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714
Liu, Zhaoping,Feng, Jiwen,Zhou, Xufeng,et al. Vapor-assisted synthesis of hierarchical porous graphitic carbon materials towards energy storage devices[J]. JOURNAL OF POWER SOURCES,2019,425:10-16.
APA Liu, Zhaoping,Feng, Jiwen,Zhou, Xufeng,Deng, Wei,&Jiang, Ping.(2019).Vapor-assisted synthesis of hierarchical porous graphitic carbon materials towards energy storage devices.JOURNAL OF POWER SOURCES,425,10-16.
MLA Liu, Zhaoping,et al."Vapor-assisted synthesis of hierarchical porous graphitic carbon materials towards energy storage devices".JOURNAL OF POWER SOURCES 425(2019):10-16.

入库方式: OAI收割

来源:武汉物理与数学研究所

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