Journal of Materials Science

, Volume 54, Issue 7, pp 5658–5670 | Cite as

Rapid and low-cost laser synthesis of hierarchically porous graphene materials as high-performance electrodes for supercapacitors

  • Fangcheng Wang
  • Xuesong Mei
  • Kedian Wang
  • Xia Dong
  • Meng Gao
  • Zhaoyang Zhai
  • Jing Lv
  • Chenguang Zhu
  • Wenqiang Duan
  • Wenjun Wang
Energy materials


Development of 3D hierarchically porous graphene (HPG) with supercapacitor performances at low cost has remained a challenge in electrochemical devices. Recently, laser engraving technology has been proposed as a promising and very useful method to inscribe self-designed electrode array directly onto polymeric substrates by instantaneously converting the starting material into few-layer graphene. Here we show HPG fabrication on commercial bakelite resulting in porous graphene embedded in polymer surface using the high repetition nanosecond fiber laser engraving under nitrogen atmosphere. The results showed that the as-prepared HPG presents a combination of interconnected macro-, meso- and micropores with a multi-modal pore size distribution. The morphologies, microstructures and their properties of HPG films can be governed by the laser processing parameters. Moreover, the HPG-based supercapacitors show outstanding electrochemical performance with specific capacitance superior to other supercapacitors reported previously. The simple, rapid and low-cost approach proposed in this work has great potential in large-scale applications of electronic and energy storage devices.



The authors would like to thank the National Natural Science Foundation of China (Grant No. 51735010), National Natural Science Foundation of China (Grant No. 51775419), Program for Changjiang Scholars and Innovative Research Team in University (Grant No. IRT_15R54) for supporting this work. We thank Mrs Liu at Instrument Analysis Center of Xi’an Jiaotong University for their assistance with TGA and XPS analysis.

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interest.


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.State Key Laboratory for Manufacturing System EngineeringXi’an Jiaotong UniversityXi’anChina
  2. 2.Shaanxi Key Laboratory of Intelligent RobotsXi’an Jiaotong UniversityXi’anChina
  3. 3.School of Mechanical EngineeringXi’an Jiaotong UniversityXi’anChina

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