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MoS2 nanoflowers encapsulated into carbon nanofibers containing amorphous SnO2 as an anode for lithium-ion batteries

Abstract

SnO2 with high abundance, large theoretical capacity and nontoxicity are considered to be promising candidates for use as advanced electrodes. However, the poor electronic conductivity and large volume variation hinder the practical applications of SnO2-based electrodes for lithium ion batteries. Herein, the MoS2-SnO2 heterostructures were encapsulated into carbon nanofibers (CNF) via a facile solvothermal and electrospinning methods. Remarkably, when the binder-free and robust MoS2-SnO2@CNF is employed as anode for lithium ion batteries, such a clever structure exhibits a discharge capacity of 983 mAh g-1 at current density of 200 mA g-1 after 100 cycles and a capacity of 710 mAh g-1 after 800 cycles at a current density of 2000 mA g-1. Besides, full-cells and flexible full-cells were also constructed, which exhibited high flexibility and delivered a high reversible capacity of 463 mAh g−1 after 100 cycles at 500 mA g−1. The exceptional performance of MoS2-SnO2@CNF should be attributed to the rational design of electrode structure: on one hand, the robust structure of amorphous SnO2 and MoS2 nanoflower in the conductive carbon network not only provides direct current pathways, but also enhances electron transfer. On the other hand, the abundant p-n heterogeneous interfaces greatly reduce charge transfer resistance and enhance surface reaction kinetics. This work proposes a feasible strategy to enhance the capacity and stability of SnO2 based electrodes and opens a new avenue for the potential application of SnO2 anode materials.

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Publication details

The article was received on 04 Jul 2019, accepted on 12 Aug 2019 and first published on 13 Aug 2019


Article type: Communication
DOI: 10.1039/C9NR05631A
Nanoscale, 2019, Accepted Manuscript

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    MoS2 nanoflowers encapsulated into carbon nanofibers containing amorphous SnO2 as an anode for lithium-ion batteries

    H. Chen, J. He, G. Ke, L. Sun, J. Chen, Y. Li, X. Ren, L. Deng and P. Zhang, Nanoscale, 2019, Accepted Manuscript , DOI: 10.1039/C9NR05631A

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