Journal of The Electrochemical Society, 151 ͑11͒ A1804-A1809 ͑2004͒
respectively. In other words, 91.3% of the initial capacity could be Conclusion
A1809
retained after 60 cycles, which was only marginally lower than the
retention value of pristine KS6 ͑93.8%͒ in the same number of
cycles. We are not aware of any other report of Sn-C composites
showing such high cyclability. The good cyclability of Sn-KS6
nanocomposites prepared by the current method is believed to be a
combination of the uniform distribution of nonagglomerating small
Sn particles on the graphite surface and the successful control of the
volume changes in Li-Sn reactions.
In conclusion, Sn nanoparticles about 10 and 3.5 nm in size and
Sn-graphite nanocomposites were prepared from an in situ formed
(
phen͒SnCl precursor. The phen ligand stabilizes the nanoparticles
4
against agglomeration during preparation and the dispersion of the
nanoparticles in graphitic carbon inhibits particle agglomeration dur-
ing applications. In principle, phen could also be useful as a protec-
tive agent in the preparation of other metal nanoparticles. The 10.3
wt % 3.5 nm Sn-graphite nanocomposite prepared as such displayed
The Sn-KS6 composites showed distinctively better performance
than what was expected from a physical mixture of two independent
components. For example, the discharge capacity ͑415 mAh/g͒ of
ϩ
a high reversible Li storage capacity of 415 mAh/g, of which
91.3% could be retained after 60 charge and discharge cycles. This
is a significant improvement over previous efforts on Sn-based
graphite composites reported in the literature. Particle size and par-
ticle size distribution are both very important factors determining
the applicability of Sn-based nanoparticles in Li-ion batteries.
1
0.3 wt % Sn-KS6 is higher than the weighted sum of the discharge
16
capacities of graphite ͑300 mAh/g͒ and theoretical capacity of Sn
1
5
͑
990 mAh/g͒ ͑usually the realizable discharge capacities of Sn or
SnO2 are around 600-700 mAh/g͒.9 It is, however, not clear
whether one could ͑or should͒ partition the observed nanocomposite
capacities between their constituents. As a first approximation, the
small capacity loss after 60 cycles could be attributed to mostly Sn
nanoparticles. The agglomeration of Sn nanoparticles appears to be
,18
The Singapore-MIT alliance, National University of Singapore, assisted
in meeting the publication costs of this article.
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