Controlling synthesis of nitrogen-doped hierarchical porous graphene-like carbon with coral flower structure for high-performance supercapacitors

Chen, Wenlian; Hu, Zhongai; Yang, Yuying; Wang, Xiaotong; He, Yuanyuan; Xie, Yandong; Zhu, Chongyu; Zhang, Yan; Lv, Liwen

doi:10.1007/s11581-019-03062-w

Cited by 5 publications

(1 citation statement)

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“…In this way, the porogens are bifunctional, and pore sizes less than the templates can thus be generated. Hu et al used a 3D flower‐shaped MgO as a template and synthesized nitrogen‐doped porous carbon using cellulose acetate as a decomposable carbon source and urea as a nitrogen source 122. The as‐synthesized hierarchical porous graphene‐like carbon displayed ultrathin graphene‐like sheets and an SSA of 937 m 2 g −1 .…”

Section: Template Methodsmentioning

confidence: 99%

Synthesis Strategies of Porous Carbon for Supercapacitor Applications

et al. 2020

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Supercapacitors (SCs) have experienced a significant increase in research activity and commercialization during the past few decades. As the primary and most important electrode active material for commercial SCs, porous carbon is produced at an industrial‐scale through traditional carbonization‐activation strategies. Nevertheless, commercial porous carbon materials have some disadvantages such as high production cost, corrosion of equipment, and emission of toxic gases and byproduct pollutants during production. In recent years, huge efforts have been made to develop novel synthesis strategies for porous carbon materials. This review focuses on the pore formation mechanisms in traditional carbonization‐activation methods, emerging activation methods, template methods, self‐template methods, and novel emerging methods for the synthesis of porous carbons for SCs. Strategies developed so far for the synthesis of porous carbon materials are summarized. The mechanisms and recent advances for each strategy are reviewed. Furthermore, future directions and synthesis strategies for porous carbons are proposed.

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Section: Template Methodsmentioning

confidence: 99%