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Can the performance of graphene nanosheets for lithium storage in Li-ion batteries be predicted?

机译:石墨烯的性能可以nanosheets在锂离子电池被预测锂存储吗?

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Graphene nanosheets (GNS) were prepared from graphitic oxide (GO) in two different ways: (a) thermal exfoliation at different temperatures; and (b) wet chemistry, using aqueous N2H4 and KBH4 as reducing agents. Irrespective of the synthetic method used, the materials exhibited a high irreversible capacity and strong polarization in their charge curves, when used in a Li-ion battery. The GNS synthesized with N2H4 exhibited the best performance. Thus, at 149 mA g~(-1) the average specific capacity delivered was ca. 600 mA h g~(-1) after 100 cycles. On the other hand, the worst performance, irrespective of rate, was that of GNS synthesized with KBH4 and the thermal GNS obtained at 800 °C. The physical and chemical analyses allowed various parameters to be derived for correlation with the electrochemical properties. Unfortunately, no clear-cut correlation was apparent. A comparison with reported data revealed that no correlation appears to exist with physical and chemical properties that allows a simple strategy for tailoring an effective graphene anode to be designed.
机译:石墨烯nanosheets (GNS)准备氧化石墨(去)在两个不同的方面:(一)热剥离在不同的温度下;使用水和(b)湿化学、N2H4和KBH4减少代理。合成方法、材料表现出一个高的不可逆容量和强大极化电荷曲线,使用时一个锂离子电池。表现出最好的性能。g ~(1)平均交付特定的能力ca。600 mA h g ~(1) 100年以后周期。另一方面,最糟糕的表现,不管的速度,与KBH4畿尼的合成和热GNS获得800°C。允许各种物理和化学分析派生的相关参数电化学性质。明确的相关性是显而易见的。报告数据显示,没有相关性似乎存在于物理和化学属性,允许一个简单的策略定制一个有效的石墨阳极设计。

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