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In-situ synthesis of porous Si dispersed in carbon nanotube intertwined expanded graphite for high-energy lithium-ion batteries

Abstract

Silicon (Si) is perceived as one of the most promising anode materials for next-generation lithium-ion batteries (LIBs). For its practical application, superior electrochemical properties, low cost and scalable production are highly required. Herein, we synthesize a carbon nanotube intertwined expanded graphite/porous Si (CNT/EG/pSi) composite through in-situ magnesiothermic reduction method, where porous Si nanoparticles (NPs) are dispersed in the interspaces constructed by EG sheets, with CNTs intertwined throughout the composite, connecting Si NPs and EG sheets. Mesopores within Si NPs can not only shorten electrons and Li+ ions transport distance but also play an important role in accommodating the huge volume change. EG and CNTs construct a three-dimensional conductive network, improving the electronic conductivity of the composite. Moreover, EG sheets release the excessive local stress over cycles, and CNTs can randomly build new electronic pathways as the structure changes, alleviating the degeneration of conductive network. Consequently, the CNT/EG/pSi composite exhibits enhanced cycling and rate performances when used as the anode material, delivering reversible specific capacities of 2618 mAh g-1 at 0.2 A g-1 and 1390 mAh g-1 at 4 A g-1, maintaining capacity of 2152 mAh g-1 after 100 cycles at 0.4 A g-1, with capacity retention of 84 %. This hierarchically structured anode material has facile and low-cost synthetic route, as well as excellent electrochemical performances, making it attractive for high-performance LIBs applications.

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Publication details

The article was received on 06 Jun 2018, accepted on 08 Aug 2018 and first published on 08 Aug 2018


Article type: Paper
DOI: 10.1039/C8NR04587A
Citation: Nanoscale, 2018, Accepted Manuscript
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    In-situ synthesis of porous Si dispersed in carbon nanotube intertwined expanded graphite for high-energy lithium-ion batteries

    T. Xu, D. Wang, P. Qiu, J. Zhang, Q. Wang, B. Xia and X. Xie, Nanoscale, 2018, Accepted Manuscript , DOI: 10.1039/C8NR04587A

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