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用于能量存储的生物启发材料。

Bioinspired Materials for Energy Storage.

作者信息

Mei Jun, Liao Ting, Peng Hong, Sun Ziqi

机构信息

School of Chemistry and Physics, Queensland University of Technology, 2 George Street, Brisbane, QLD, 4000, Australia.

Centre for Materials Science, Queensland University of Technology, 2 George Street, Brisbane, QLD, 4000, Australia.

出版信息

Small Methods. 2022 Feb;6(2):e2101076. doi: 10.1002/smtd.202101076. Epub 2021 Dec 26.

DOI:10.1002/smtd.202101076
PMID:34954906
Abstract

Nature offers a variety of interesting structures and intriguing functions for researchers to be learnt for advanced materials innovations. Recently, bioinspired materials have received intensive attention in energy storage applications. Inspired by various natural species, many new configurations and components of energy storage devices, such as rechargeable batteries and supercapacitors, have been designed and innovated. The bioinspired designs on energy devices, such as electrodes and electrolytes, have brought about excellent physical, chemical, and mechanical properties compared to the counterparts at their conventional forms. In this review, the design principles for bioinspired materials ranging from structures, synthesis, and functionalization to multi-scale ordering and device integration are first discussed, and then a brief summary is given on the recent progress on bioinspired materials for energy storage systems, particularly the widely studied rechargeable batteries and supercapacitors. Finally, a critical review on the current challenges and brief perspective on the future research focuses are proposed. It is expected that this review can offer some insights into the smart energy storage system design by learning from nature.

摘要

大自然为研究人员提供了各种有趣的结构和引人入胜的功能,以供学习用于先进材料创新。最近,受生物启发的材料在储能应用中受到了广泛关注。受各种天然物种的启发,许多新型储能装置的结构和组件,如可充电电池和超级电容器,已经被设计和创新出来。与传统形式的同类产品相比,在诸如电极和电解质等能量装置上受生物启发的设计带来了优异的物理、化学和机械性能。在这篇综述中,首先讨论了从结构、合成、功能化到多尺度有序化和器件集成的受生物启发材料的设计原则,然后简要总结了受生物启发材料在储能系统方面的最新进展,特别是广泛研究的可充电电池和超级电容器。最后,对当前的挑战进行了批判性综述,并对未来的研究重点给出了简要展望。期望这篇综述能够通过向大自然学习,为智能储能系统设计提供一些见解。

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