journal article·2023-08-08

Enhancing Two-Electron Reaction Contribution in MnO2 Cathode Material by Structural Engineering for Stable Cycling in Aqueous Zn Batteries

Yaozhi Liu, Kuo Wang, Xianpeng Yang, Jie Liu, Xiao-Xia Liu, Xiaoqi Sun

ACS Nano· Volume 17· Issue 15
Publisher page

Abstract

MnO 2 is a promising cathode for aqueous Zn batteries. However, the cycling stability is seriously hindered by active material dissolution, and the pre-addition of Mn 2+ salts in electrolytes is widely required. Herein, we propose a structural engineering strategy for MnO 2 to enhance the capacity contribution from the reversible two-electron transfer reaction of MnO 2 /Mn 2+ and realize stable cycling in Mn 2+ -free electrolytes. By compositing with MoO 3, MnO 2 exhibits weakened Mn–O bonds, more oxygen vacancies, spontaneous generation of structural water, and thus a lowered energy barrier for Mn release during discharge. Meanwhile, the composite material presents stronger electrostatic attractions for dissolved Mn 2+, which ensures highly reversible re-deposition during charge. As a result, the mass ratios between materials undergoing reversible two-electron and one-electron transfer reactions increase from 0.85 in MnO 2 to 1.68 in the MnO 2 /MoO 3 composite material. In the ZnSO 4 electrolyte, the MnO 2 /MoO 3 cathode achieves 92.6% capacity retention after 300 cycles at 0.1 A g –1 (>1900 h), superior to 62.7% for MnO 2 . MnO 2 /MoO 3 also retains 80.1% capacity after 16 000 cycles at 1 A g –1 (>3200 h). This work presents an effective path to realize stable cycling of MnO 2 in Zn batteries.
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Research context

OpenAlex topics: Advanced battery technologies research · Supercapacitor Materials and Fabrication · Advanced Battery Materials and Technologies

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

Affiliations

Department of Chemistry, Northeastern University, 3-11 Wenhua Road, Shenyang, 110819, China

School of Resources and Civil Engineering, Northeastern University, 3-11 Wenhua Road, Shenyang, 110819, China

National-Local Joint Engineering Research Center of High-Efficient Exploitation Technology for Refractory Iron Ore Resources, Shenyang, 110819, China

National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, 3-11 Wenhua Road, Shenyang, 110819, China

Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China

Funding

Liaoning Revitalization Talents Program · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China · Higher Education Discipline Innovation Project

References (51)

Show source-provided references
1. 10.1039/C9CS00131J10.1039/C9CS00131J ↗
2. 10.1002/anie.20220059810.1002/anie.202200598 ↗
3. 10.1126/sciadv.aba409810.1126/sciadv.aba4098 ↗
4. 10.1039/C9CS00349E10.1039/C9CS00349E ↗
5. 10.1093/nsr/nwac26810.1093/nsr/nwac268 ↗
6. 10.1021/acsnano.2c0950910.1021/acsnano.2c09509 ↗
7. 10.1016/j.xcrp.2022.10082410.1016/j.xcrp.2022.100824 ↗
8. 10.1021/acsenergylett.0c0268410.1021/acsenergylett.0c02684 ↗
9. 10.1021/acsnano.0c0704110.1021/acsnano.0c07041 ↗
10. 10.1039/D2EE02931F10.1039/D2EE02931F ↗
11. 10.1021/acsenergylett.8b0142610.1021/acsenergylett.8b01426 ↗
12. 10.1016/j.joule.2020.03.00210.1016/j.joule.2020.03.002 ↗
13. 10.1021/acsnano.1c0138910.1021/acsnano.1c01389 ↗
14. 10.1002/adma.20190842010.1002/adma.201908420 ↗
15. 10.1002/adfm.20180256410.1002/adfm.201802564 ↗
16. 10.1016/j.ensm.2021.10.03910.1016/j.ensm.2021.10.039 ↗
17. 10.1039/D1EE03547A10.1039/D1EE03547A ↗
18. 10.1021/jacs.7b0447110.1021/jacs.7b04471 ↗
19. 10.1039/C9EE02526J10.1039/C9EE02526J ↗
20. 10.1021/acsnano.9b0491610.1021/acsnano.9b04916 ↗
21. 10.1021/acs.chemrev.9b0062810.1021/acs.chemrev.9b00628 ↗
22. 10.1002/anie.20201158810.1002/anie.202011588 ↗
23. 10.1002/aenm.20200290410.1002/aenm.202002904 ↗
24. 10.1002/anie.20190417410.1002/anie.201904174 ↗
25. 10.1021/acsenergylett.2c0077710.1021/acsenergylett.2c00777 ↗
26. 10.1002/aenm.20190416310.1002/aenm.201904163 ↗
27. 10.1002/adfm.20210157910.1002/adfm.202101579 ↗
28. 10.1038/nenergy.2016.3910.1038/nenergy.2016.39 ↗
29. 10.1038/s41467-018-04949-410.1038/s41467-018-04949-4 ↗
30. 10.1039/C9EE00718K10.1039/C9EE00718K ↗
31. 10.1016/j.nanoen.2022.10727410.1016/j.nanoen.2022.107274 ↗
32. 10.1002/aenm.20200176910.1002/aenm.202001769 ↗
33. 10.1002/aenm.20180144510.1002/aenm.201801445 ↗
34. 10.1002/adfm.20180390110.1002/adfm.201803901 ↗
35. 10.1039/c3ee44164d10.1039/c3ee44164d ↗
36. 10.1002/smll.20210455710.1002/smll.202104557 ↗
37. 10.1021/acsnano.0c0920510.1021/acsnano.0c09205 ↗
38. 10.1002/smll.20200059710.1002/smll.202000597 ↗
39. 10.1002/aenm.20220184010.1002/aenm.202201840 ↗
40. 10.1002/aenm.20200105010.1002/aenm.202001050 ↗
41. 10.1007/s40820-021-00691-710.1007/s40820-021-00691-7 ↗
42. 10.1088/2053-1591/abbf8d10.1088/2053-1591/abbf8d ↗
43. 10.1002/aenm.20180381510.1002/aenm.201803815 ↗
44. 10.1016/j.nanoen.2019.05.05910.1016/j.nanoen.2019.05.059 ↗
45. 10.1016/j.ensm.2023.01.04110.1016/j.ensm.2023.01.041 ↗
46. 10.1002/adfm.20210699410.1002/adfm.202106994 ↗
47. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
48. 10.1063/1.131601510.1063/1.1316015 ↗
49. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
50. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
51. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗