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Metal/Graphene Composites with Strong Metal-S Bondings for Sulfur Immobilization in Li-S Batteries

Xiaolong Yao, Jijian Xu, Zhanglian Hong, Gaoran Li, Xuewei Wang, Feng Lu, Weihua Wang, Hui Liu, Chengdu Liang, Zhan Lin*, Weichao Wang

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Selections of metallic cathode materials and modulations of metal-sulfur bonding strength are crucial for sulfur immobilization in development of high-performance lithium-sulfur (Li-S) batteries with low cost. By combining theoretical calculations and experiments, herein we reveal the relationship between intrinsic electronic structure and metal-S bonding strength, which links to energy density and durability of Li-S batteries. Through first-principles calculations, we simulate sulfur clusters (S1, S2, S4, and S8) immobilization on metal (Cu, Ni, and Sn) slab surfaces with and without graphene substrate. For sulfur clusters, the metal-Sx (x = 1, 2, 4, and 8) bonding strength is in the sequence of Ni > Cu > Sn without graphene substrate. Nevertheless, the sequence changes (Ni > Sn > Cu) in the presence of graphene substrate due to different amounts of charge transfer between these metal clusters and graphene. Guided by these theoretical results, metal (Cu, Ni, Sn)/graphene (G) composites are synthesized and subsequently integrated into the cathode of Li-S batteries. Among these metal/G systems, the sulfur cathode with Ni/G composites demonstrates remarkable electrochemical performance, i.e., a discharge capacity of >830 mAh g-1 over 500 cycles with an average Coulombic efficiency close to 100%. These findings shed light on theoretical calculations providing insights into the electrode design of Li-S batteries. © 2018 American Chemical Society.
Original languageEnglish
Pages (from-to)3263-3272
JournalThe Journal of Physical Chemistry C
Volume122
Issue number6
DOIs
Publication statusPublished - 15 Feb 2018
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work is supported by the National Key Research and Development Program (Grant No. 2016YFB0901600), the National Natural Science Foundation of China (11304161, 11104148, 51171082, 21573117, and 11404172), the National Basic Research Program of China (973 Program with no. 2014CB931703), and the Fundamental Research Funds for the Central Universities. We express thanks for the technology support from the Texas Advanced Computing Center (TACC) at the University of Texas at Austin (http://www.tacc.utexas.edu) for providing grid resources that have contributed to the research results reported within this paper. This work was financially supported by the Chinese government under the “Thousand Youth Talents Program”, the Zhejiang Province Science Fund for Distinguished Young Scholars (Project LR16B060001), and the Key Technology and Supporting Platform of Genetic Engineering of Materials under the State’s Key Project of Research and Development Plan (Project 2016YFB0700600).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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