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Chemical Vapor Deposition Growth of Carbon Nanotube Confined Nickel Sulfides from Porous Electrospun Carbon Nanofibers and Their Superior Lithium Storage Properties

Abstract

Multidimensional architecture design is a promising strategy to explore unique physicochemical characteristics by synergistically integrating different structural and compositional materials. Herein, we report the facile synthesis of a novel dendritic hybrid architecture, where carbon nanotubes (CNTs) with inside encapsulated nickel sulfide nanoparticles are epitaxially grown out of the porous electrospun N-doped carbon nanofibers (CNFs) (denote as CNT@NS@CNFs), through a combined strategy of electrospinning and chemical vapor deposition (CVD). The adopted hiophene (C4H4S) not only serves as carbon source for growth of CNTs, but also sulfur source for sulfurization of Ni particles and S-doping into carbon matrices. When examined as a anode material for lithium ion batteries (LIBs), the dendritic CNT@NS@CNFs display superior lithium storage properties including good cycle stability and high rate capability, delivering a high reversible capacity of 630 mA h/g at 100mA/g after 200 cycles and 277 mA h/g at a high rate of 1000 mA/g. The outstanding electrochemical properties can be attributed to the novel hybrid architecture, in which encapsulation of nickel sulfide nanoparticles within the CNT/CNFs not only efficiently buffers the volume changes upon lithiation/delithiation, but also facilitates the charge transfer and the electrolyte diffusion owing to the highly conductive networks with open framestructures.

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Publication details

The article was received on 22 Sep 2018, accepted on 12 Oct 2018 and first published on 12 Oct 2018


Article type: Paper
DOI: 10.1039/C8NA00234G
Citation: Nanoscale Adv., 2019, Accepted Manuscript
  • Open access: Creative Commons BY license
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    Chemical Vapor Deposition Growth of Carbon Nanotube Confined Nickel Sulfides from Porous Electrospun Carbon Nanofibers and Their Superior Lithium Storage Properties

    A. Wang, S. Xie, R. Zhang, Y. She, C. Chen, M. K.H. Leung, C. Niu and H. Wang, Nanoscale Adv., 2019, Accepted Manuscript , DOI: 10.1039/C8NA00234G

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