journal article·2020

Theoretical anchoring effect of new phosphorus allotropes for lithium–sulfur batteries

Chunmei Li, Linxin He, Jianglei Luo, Jianfeng Tang, Nanpu Cheng, Zhiqian Chen

Nanoscale· Volume 12· Issue 20
Publisher page

Abstract

The lithium-sulfur battery system has appeared as a new-generation alternative to lithium-ion batteries with 5-7 times higher specific energy density than conventional lithium-ion batteries. But its commercial implementation is still impeded by a series of technical challenges. Modifying separation with the anchoring material is viewed as an effective way to overcome these problems and achieve long-term cycling stability and high-rate performance. In this paper, eight phosphorus allotropes, α-P, β-P, γ-P, δ-P, ε-P, ζ-P, θ-P and η-P, are investigated as anchoring materials for separation in lithium-sulfur batteries based on binding energy and diffusion barrier discussion. The results show that the crystal structures of phosphorus polymorphs are crucial to the suitability of their application as anchoring materials for lithium-sulfur batteries. The binding energy results show that except ε-P, all the other phosphorus allotropes can strike a balance between binding strength and intactness of the Li2Sn species. Among these, ε-P composed of P4 squares is a strong anchoring material and may lead to the decomposition of the Li2S cluster. Furthermore, for Li atoms and lithium sulfides, the most convenient diffusion paths are all along the grooves in the phosphorus monolayers, including the life-boat shaped (α-P, γ-P, δ-P and ε-P), wave shaped (β-P, ζ-P) and back-to-back shaped (θ-P, η-P) grooves. Except ε-P, all the other phosphorus allotropes can be applied to modify the separation for lithium-sulfur batteries. But among these, α-P, β-P, γ-P and δ-P composed of P6 hexagons can act as more suitable substrates for Li atom and lithium sulfide diffusion with lower barriers. As a result, α-P, β-P, γ-P and δ-P composed of P6 hexagons are good choices as separation modification materials in lithium-sulfur batteries among phosphorus allotropes. In addition, the structure correlations among α-P, β-P, γ-P and δ-P, and the likely conversion pathways from α-P to β-P, from β-P to γ-P, and from γ-P to δ-P are discussed.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Advanced Battery Materials and Technologies · Advancements in Battery Materials · Chemical Synthesis and Characterization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Materials and Energy

Southwest University

Chongqing 400715

China

Funding

Fundamental Research Funds for the Central Universities · Chongqing Research Program of Basic Research and Frontier Technology · National Natural Science Foundation of China

References (59)

Show source-provided references
1. Goodenough · J. Am. Chem. Soc. · 2013 · 135 · 116710.1021/ja3091438 ↗
2. Kang · Nature · 2009 · 458 · 19010.1038/nature07853 ↗
3. Zhao · Nano Lett. · 2011 · 11 · 296210.1021/nl201501s ↗
4. Chen · Mater. Today · 2019 · 22 · 14210.1016/j.mattod.2018.04.007 ↗
5. Park · Nano Today · 2018 · 18 · 3510.1016/j.nantod.2017.12.010 ↗
6. Liu · Nano Energy · 2018 · 50 · 68510.1016/j.nanoen.2018.06.011 ↗
7. Wang · Energy Storage Mater. · 2019 · 16 · 34410.1016/j.ensm.2018.06.015 ↗
8. Huang · Nano Energy · 2018 · 51 · 34010.1016/j.nanoen.2018.06.052 ↗
9. Diao · J. Electrochem. Soc. · 2012 · 159 · A42110.1149/2.060204jes ↗
10. Wang · Nano Energy · 2018 · 50 · 36710.1016/j.nanoen.2018.05.043 ↗
11. Zhang · Mater. Sci. Eng., R · 2017 · 121 · 110.1016/j.mser.2017.09.001 ↗
12. Zhao · Chem. Eng. J. · 2018 · 347 · 34310.1016/j.cej.2018.04.112 ↗
13. Fan · Green Energy Environ. · 2018 · 3 · 210.1016/j.gee.2017.08.002 ↗
14. Li · Energy Storage Mater. · 2019 · 18 · 33810.1016/j.ensm.2018.08.016 ↗
15. Li · Chem. Eng. J. · 2018 · 349 · 37610.1016/j.cej.2018.05.074 ↗
16. Wang · Energy Storage Mater. · 2019 · 16 · 22810.1016/j.ensm.2018.05.019 ↗
17. Xu · Nano Energy · 2018 · 51 · 11310.1016/j.nanoen.2018.06.044 ↗
18. Wu · ACS Nano · 2016 · 10 · 133310.1021/acsnano.5b06716 ↗
19. A. Razzaq · Energy Storage Mater. · 2019 · 16 · 19410.1016/j.ensm.2018.05.006 ↗
20. Wang · Nano Energy · 2015 · 15 · 41310.1016/j.nanoen.2015.05.006 ↗
21. Lin · Nano Energy · 2018 · 54 · 5010.1016/j.nanoen.2018.10.001 ↗
22. Li · Energy Storage Mater. · 2018 · 15 · 38810.1016/j.ensm.2018.08.019 ↗
23. Zheng · Nano Lett. · 2013 · 13 · 126510.1021/nl304795g ↗
24. Zhang · Nano Lett. · 2015 · 15 · 378010.1021/acs.nanolett.5b00367 ↗
25. Li · J. Mater. Chem. A · 2019 · 7 · 413410.1039/C8TA10933H ↗
26. Li · Energy Storage Mater. · 2020 · 25 · 86610.1016/j.ensm.2019.09.003 ↗
27. Mukherjee · Nanoscale · 2018 · 10 · 2133510.1039/C8NR04868A ↗
28. Qie · Carbon · 2018 · 129 · 3810.1016/j.carbon.2017.11.068 ↗
29. Zhang · J. Phys. Chem. C · 2017 · 121 · 1554910.1021/acs.jpcc.7b03741 ↗
30. Jiang · J. Mater. Chem. A · 2018 · 6 · 210710.1039/C7TA09244J ↗
31. Liu · J. Power Sources · 2018 · 396 · 1910.1016/j.jpowsour.2018.05.096 ↗
32. Zhao · J. Mater. Chem. A · 2016 · 4 · 612410.1039/C6TA00871B ↗
33. Sun · Adv. Mater. · 2016 · 28 · 979710.1002/adma.201602172 ↗
34. Wu · Nano Lett. · 2015 · 15 · 355710.1021/acs.nanolett.5b01041 ↗
35. Zhu · Phys. Rev. Lett. · 2014 · 112 · 17680210.1103/PhysRevLett.112.176802 ↗
36. Zhang · Angew. Chem., Int. Ed. · 2016 · 55 · 166610.1002/anie.201507568 ↗
37. Mukherjee · ACS Appl. Mater. Interfaces · 2018 · 10 · 863010.1021/acsami.7b18595 ↗
38. Perdew · Phys. Rev. Lett. · 1996 · 77 · 386510.1103/PhysRevLett.77.3865 ↗
39. Perdew · Phys. Rev. B: Condens. Matter Mater. Phys. · 1992 · 46 · 667110.1103/PhysRevB.46.6671 ↗
40. Perdew · Phys. Rev. B: Condens. Matter Mater. Phys. · 1996 · 54 · 1653310.1103/PhysRevB.54.16533 ↗
41. Xie · Comput. Mater. Sci. · 2018 · 144 · 30410.1016/j.commatsci.2017.12.026 ↗
42. Ortmann · Phys. Rev. B: Condens. Matter Mater. Phys. · 2006 · 73 · 20510110.1103/PhysRevB.73.205101 ↗
43. Cartz · J. Chem. Phys. · 1979 · 71 · 171810.1063/1.438523 ↗
44. Appalakondaiah · Phys. Rev. B: Condens. Matter Mater. Phys. · 2012 · 86 · 03510510.1103/PhysRevB.86.035105 ↗
45. Elahi · Phys. Rev. B: Condens. Matter Mater. Phys. · 2015 · 91 · 11541210.1103/PhysRevB.91.115412 ↗
46. Wei · Appl. Phys. Lett. · 2014 · 104 · 25191510.1063/1.4885215 ↗
47. Zhang · Nano Lett. · 2016 · 16 · 490310.1021/acs.nanolett.6b01459 ↗
48. Guan · Phys. Rev. Lett. · 2014 · 113 · 04680410.1103/PhysRevLett.113.046804 ↗
49. Li · Carbon · 2018 · 140 · 16410.1016/j.carbon.2018.08.057 ↗
50. Henkelman · J. Chem. Phys. · 2000 · 113 · 990110.1063/1.1329672 ↗
51. Olsen · J. Chem. Phys. · 2004 · 121 · 977610.1063/1.1809574 ↗
52. Govind · Comput. Mater. Sci. · 2003 · 28 · 25010.1016/S0927-0256(03)00111-3 ↗
53. Yin · Nano Energy · 2016 · 25 · 20310.1016/j.nanoen.2016.04.053 ↗
54. Jing · J. Phys. Chem. C · 2013 · 117 · 2540910.1021/jp410969u ↗
55. Li · Nano Lett. · 2015 · 15 · 169110.1021/nl504336h ↗
56. Tang · J. Phys.: Condens. Matter · 2009 · 21 · 084204
57. Henkelman · Comput. Mater. Sci. · 2006 · 36 · 35410.1016/j.commatsci.2005.04.010 ↗
58. Uthaisar · Nano Lett. · 2010 · 10 · 283810.1021/nl100865a ↗
59. Xu · Chin. Phys. B · 2016 · 25 · 06710310.1088/1674-1056/25/6/067103 ↗