4.8 Article

Scalable Holey Graphene Synthesis and Dense Electrode Fabrication toward High-Performance Ultracapacitors

期刊

ACS NANO
卷 8, 期 8, 页码 8255-8265

出版社

AMER CHEMICAL SOC
DOI: 10.1021/nn502635y

关键词

scalable synthesis; facile processability; holey graphene; dense graphene electrode; ultracapacitor; supercapacitor; volumetric capacitance

资金

  1. NSF-CBET [1335944, 1335979]
  2. Leading Edge Aeronautics Research for NASA (LEARN) program [NNX13AB88A]
  3. NASA Pathways Intern Employment Program (IEP)
  4. LEARN
  5. Department of Defense [W911NF-12-1-0083]
  6. NASA [NNX10AM80H, NNX13AB22A]
  7. NASA [NNX13AB88A, 476432, 476440, NNX13AB22A] Funding Source: Federal RePORTER
  8. Div Of Chem, Bioeng, Env, & Transp Sys
  9. Directorate For Engineering [1335944] Funding Source: National Science Foundation
  10. Div Of Chem, Bioeng, Env, & Transp Sys
  11. Directorate For Engineering [1335979] Funding Source: National Science Foundation

向作者/读者索取更多资源

Graphene has attracted a lot of attention for ultracapacitor electrodes because of its high electrical conductivity, high surface area and superb chemical stability. However, poor volumetric capacitive performance of typical graphene-based electrodes has hindered their practical applications because of the extremely low density. Herein we report a scalable synthesis method of holey graphene (h-Graphene) in a single step without using any catalysts or special chemicals The film made of the as synthesized h-Graphene exhibited relatively strong mechanical strength, 2D hole morphology, high density, and facile processability. This scalable one-step synthesis method for h-Graphene is time environmentally friendly, and generally applicable to other two-dimensional materials The ultracapacitor electrodes based on remarkably improved volumetric capacitance with about 700% increase compared to that of regular graphene electrodes. h-Graphene was carried out to understand the excellent processability and improved ultracapacitor performance. efficient, the h-Graphene show a Modeling on individual cost-efficient,

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