journal article·2018-12-19

Self-Supported FeCo2S4 Nanotube Arrays as Binder-Free Cathodes for Lithium–Sulfur Batteries

Bingshu Guo, Sateesh Bandaru, Chunlong Dai, Hao Chen, Youquan Zhang, Qiuju Xu, Shujuan Bao, Mingyang Chen, Maowen Xu

ACS Applied Materials & Interfaces· Volume 10· Issue 50
Publisher page

Abstract

Inhibiting the shuttle effect, buffering the volume expansion, and improving the utilization of sulfur have been the three strategic points for developing a high-performance lithium–sulfur (Li–S) battery. Driven by this background, a flexible sulfur host material composed of FeCo2S4 nanotube arrays grown on the surface of carbon cloth is designed for a binder-free cathode of the Li–S battery through two-step hydrothermal method. Among the rest, the interconnected carbon fiber skeleton of the composite electrode ensures the basic electrical conductivity, whereas the FeCo2S4 nanotube arrays not only boost the electron and electrolyte transfer but also inhibit the dissolution of polysulfides because of their strong chemical adsorption. Meanwhile, the hollow structures of these arrays can provide a large inner space to accommodate the volume expansion of sulfur. More significantly, the developed composite electrode also reveals a catalytic action for accelerating the reaction kinetic of the Li–S battery. As a result, the FeCo2S4/CC@S electrode delivers a high discharge capacity of 1384 mA h g–1 at the current density of 0.1 C and simultaneously exhibits a stable Coulombic efficiency of about 98%.
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Research context

OpenAlex topics: Advancements in Battery Materials · Advanced Battery Materials and Technologies · Advanced battery technologies research

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Affiliations

Institute for Clean Energy & Advanced Materials, Faculty of Materials and Energy, Southwest University, Chongqing 400715, PR China

Chongqing Key Laboratory for Advanced Materials and Technologies of Clean Energies, Chongqing 400715, P.R. China

Beijing Computational Science Research Center, Beijing 100193, China

Funding

National Natural Science Foundation of China · Chongqing Municipality

References (54)

Show source-provided references
1. 10.1038/natrevmats.2016.1310.1038/natrevmats.2016.13 ↗
2. 10.1021/jacs.7b0697310.1021/jacs.7b06973 ↗
3. 10.1021/acsami.7b0620810.1021/acsami.7b06208 ↗
4. 10.1002/aenm.20170237310.1002/aenm.201702373 ↗
5. 10.1021/acsnano.7b0059610.1021/acsnano.7b00596 ↗
6. 10.1021/acsami.7b0067210.1021/acsami.7b00672 ↗
7. 10.1021/acsnano.7b0586910.1021/acsnano.7b05869 ↗
8. 10.1002/anie.20151163210.1002/anie.201511632 ↗
9. 10.1016/j.nanoen.2017.01.04010.1016/j.nanoen.2017.01.040 ↗
10. 10.1021/acsami.6b0427010.1021/acsami.6b04270 ↗
11. 10.1039/c7sc03960c10.1039/c7sc03960c ↗
12. 10.1002/aenm.20160184310.1002/aenm.201601843 ↗
13. 10.1021/acs.nanolett.5b0416610.1021/acs.nanolett.5b04166 ↗
14. 10.1039/c5ta03062e10.1039/c5ta03062e ↗
15. 10.1016/j.ensm.2017.04.00310.1016/j.ensm.2017.04.003 ↗
16. 10.1038/ncomms1462710.1038/ncomms14627 ↗
17. 10.1021/acsnano.7b0194510.1021/acsnano.7b01945 ↗
18. 10.1007/s12274-018-2017-910.1007/s12274-018-2017-9 ↗
19. 10.1016/j.ensm.2018.08.01610.1016/j.ensm.2018.08.016 ↗
20. 10.1016/j.ensm.2018.08.013Y10.1016/j.ensm.2018.08.013Y ↗
21. 10.1038/ncomms494310.1038/ncomms4943 ↗
22. 10.1016/j.nanoen.2017.05.00910.1016/j.nanoen.2017.05.009 ↗
23. 10.1016/j.nanoen.2017.01.00710.1016/j.nanoen.2017.01.007 ↗
24. 10.1002/anie.20180597210.1002/anie.201805972 ↗
25. 10.1002/adfm.20170252410.1002/adfm.201702524 ↗
26. 10.1002/aenm.20180070910.1002/aenm.201800709 ↗
27. 10.1038/ncomms1306510.1038/ncomms13065 ↗
28. 10.1002/smll.20170008710.1002/smll.201700087 ↗
29. 10.1002/adfm.20170444310.1002/adfm.201704443 ↗
30. 10.1021/acsami.6b1468710.1021/acsami.6b14687 ↗
31. 10.1021/nl504263m10.1021/nl504263m ↗
32. 10.1021/acsami.6b1118810.1021/acsami.6b11188 ↗
33. 10.1016/j.ensm.2017.04.00410.1016/j.ensm.2017.04.004 ↗
34. 10.1002/adma.20150601410.1002/adma.201506014 ↗
35. 10.1021/nl404199v10.1021/nl404199v ↗
36. 10.1103/physrevb.23.504810.1103/physrevb.23.5048 ↗
37. 10.1016/j.commatsci.2004.02.02310.1016/j.commatsci.2004.02.023 ↗
38. 10.1103/physrevlett.100.13640610.1103/physrevlett.100.136406 ↗
39. 10.1103/physrevb.57.150510.1103/physrevb.57.1505 ↗
40. 10.1103/physrevb.91.19510610.1103/physrevb.91.195106 ↗
41. 10.1002/jcc.2049510.1002/jcc.20495 ↗
42. 10.1002/aenm.20160123410.1002/aenm.201601234 ↗
43. 10.1002/aenm.20160198510.1002/aenm.201601985 ↗
44. 10.1016/j.apsusc.2017.09.13010.1016/j.apsusc.2017.09.130 ↗
45. 10.1039/c6ta04090j10.1039/c6ta04090j ↗
46. 10.1039/c5cc08857g10.1039/c5cc08857g ↗
47. 10.1039/c7ta00943g10.1039/c7ta00943g ↗
48. 10.1007/s12274-018-2023-y10.1007/s12274-018-2023-y ↗
49. 10.1021/acs.chemmater.8b0135210.1021/acs.chemmater.8b01352 ↗
50. 10.1021/acsami.7b1895510.1021/acsami.7b18955 ↗
51. 10.1016/j.ensm.2018.08.01910.1016/j.ensm.2018.08.019 ↗
52. 10.1002/anie.20160567610.1002/anie.201605676 ↗
53. 10.1016/j.jpowsour.2011.07.02110.1016/j.jpowsour.2011.07.021 ↗
54. 10.1016/j.electacta.2018.03.14910.1016/j.electacta.2018.03.149 ↗