3D 石墨烯泡沫还原氧化石墨烯杂化嵌套分级网络用于高性能锂硫电池。
3D Graphene-Foam-Reduced-Graphene-Oxide Hybrid Nested Hierarchical Networks for High-Performance Li-S Batteries.
机构信息
Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang, 110016, China.
出版信息
Adv Mater. 2016 Feb 24;28(8):1603-9. doi: 10.1002/adma.201504765. Epub 2015 Dec 16.
PMID:26677000
Abstract
A 3D graphene-foam-reduced-graphene-oxide hybrid nested hierarchical network is synthesized to achieve high sulfur loading and content simultaneously, which solves the "double low" issues of Li-S batteries. The obtained Li-S cathodes show a high areal capacity two times larger than that of commercial lithium-ion batteries, and a good cycling performance comparable to those at low sulfur loading.
摘要
合成了一种 3D 石墨烯泡沫还原氧化石墨烯杂化嵌套分级网络，以同时实现高硫负载量和含量，解决了 Li-S 电池的“双低”问题。所得 Li-S 正极的面积容量比商用锂离子电池高两倍，且循环性能与低硫载量相当。
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