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

Authors: A C Oscar Vargas; Julián Morales; Alvaro Caballero;

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

Abstract

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 N(2)H(4) and KBH(4) 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 N(2)H(4) 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 KBH(4) 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.

Keywords

Ions, Statistics as Topic, Membranes, Artificial, Equipment Design, Lithium, Absorption, Nanostructures, Equipment Failure Analysis, Electric Power Supplies, Energy Transfer, Graphite, Particle Size

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
129
Top 10%
Top 10%
Top 1%
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