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Modular Graphene-Based 3D Covalent Networks: Functional Architectures for Energy Applications

机译:基于模块化石墨烯的3D共价网络:能源应用的功能架构

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摘要

The development of ordered graphene-based materials combining high stability, large surface areas, ability to act as absorbent of relevant chemical species, and solution processability is of significance for energy applications. A poorly explored approach relies on the controlled nanostructuration of graphene into robust and highly ordered 3D networks as a route to further leverage the exceptional properties of this unique material. Here, a simple yet effective and scalable one-step method is reported to prepare graphene-based 3D covalent networks (G3DCNs) with tunable interlayer distance via controlled polymerization of benzidines with graphene oxide at different reaction temperatures under catalyst-and template-free conditions. The reduced form of G3DCNs is used as electrodes in supercapacitors; it reveals a high specific capacitance of 156 F g(-1) at a current density of 1 A g(-1) in a two-electrode configuration and 460 F g(-1) at a current density of 0.5 A g(-1) in a three-electrode configuration, combined with an excellent cycling stability over 5000 cycles. The present study will promote the quantitative understanding of structure-property relationship, for the controlled fabrication of 3D graphene-based multifunctional materials.
机译:有序石墨烯基材料的开发将高稳定性,大表面积,用作相关化学物质的吸收剂以及溶液可加工性相结合,对于能源应用具有重要意义。一项未经充分研究的方法依赖于将石墨烯的受控纳米结构化为坚固且高度有序的3D网络,以此作为进一步利用这种独特材料的卓越性能的途径。在此,报道了一种简单而有效且可扩展的一步法,该方法通过在不同的反应温度下,在无催化剂和无模板条件下,通过联苯胺与氧化石墨烯的受控聚合,制备具有可调层间距离的基于石墨烯的3D共价网络(G3DCN)。 G3DCN的还原形式用作超级电容器中的电极;它显示了在两电极配置下电流密度为1 A g(-1)时为156 F g(-1)的高比电容,在电流密度为0.5 A g(-)时为460 F g(-1)的高比电容。 1)采用三电极配置,并具有超过5000次循环的出色循环稳定性。本研究将促进对结构-性质关系的定量理解,以控制制造基于3D石墨烯的多功能材料。

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