journal article·2023-01-24

A Double-Functional Additive Containing Nucleophilic Groups for High-Performance Zn-Ion Batteries

Jiandong Wan, Rui Wang, Zixiang Liu, Longhai Zhang, Fei Liang, Tengfei Zhou, Shilin Zhang, Lin Zhang, Qiquan Lu, Chaofeng Zhang, Zaiping Guo

ACS Nano· Volume 17· Issue 2
Publisher page

Abstract

Aqueous zinc-ion batteries (AZIBs) have attracted attention for their low cost and environmental friendliness. Unfortunately, commercialization has been hampered by several problems with dendrite growth and side reactions. Herein, we select sodium tartrate (TA-Na) as a dual-functional electrolyte additive to enhance the reversibility of AZIBs. The tartrate anions are preferentially adsorbed on the Zn surface, and then the highly nucleophilic carboxylate will coordinate with Zn 2+ to promote the desolvation of [Zn(H 2 O) 6 ] 2+, leading to uniform Zn deposition on the beneficial (002) plane and inhibiting side reactions and dendrite growth. Consequently, the Zn|Zn cells show a long-term cycling stability of over 1500 cycles at 0.5 mA cm –2 . Moreover, the Ta-Na additive improves the performance of Zn||MnO 2 full cells, evidenced by a cycling life of 1000 cycles at 1 A g –1 under practical conditions with a limited Zn anode (negative/positive capacity ratio of 10/1) and controlled electrolyte (electrolyte/capacity ratio of 20 μL mAh –1 ).
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Research context

OpenAlex topics: Advanced battery technologies research · Advanced Battery Materials and Technologies · Electrocatalysts for Energy Conversion

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

Affiliations

Institutes of Physical Science and Information Technology, Leibniz Joint Research Center of Materials Sciences, Engineering Laboratory of High-Performance Waterborne Polymer Materials of Anhui Province, Anhui Graphene Engineering Laboratory, Key Laboratory of Structure and Functional Regulation of Hybrid Material (Ministry of Education), Anhui University, Hefei 230601, People’s Republic of China

School of Chemical Engineering & Advanced Materials, The University of Adelaide, Adelaide 5005, Australia

Institute for Solid State Physics Laboratory of Nano and Quantum Engineering (LNQE), Leibniz University Hannover, Appelstrasse 2, 30167 Hannover, Germany

Funding

National Natural Science Foundation of China · Natural Science Foundation of Anhui Province · Guangdong Provincial Key Laboratory of Advanced Energy Storage Materials, South China University of Technology · Anhui Province · Natural Science Research Projects of Universities in Anhui Province

References (59)

Show source-provided references
1. 10.1021/acsami.1c1497310.1021/acsami.1c14973 ↗
2. 10.1002/adfm.20200642510.1002/adfm.202006425 ↗
3. 10.1016/j.jpowsour.2021.23089510.1016/j.jpowsour.2021.230895 ↗
4. 10.1021/acsnano.1c0534410.1021/acsnano.1c05344 ↗
5. 10.1016/j.jallcom.2022.16373410.1016/j.jallcom.2022.163734 ↗
6. 10.1039/D2NR00227B10.1039/D2NR00227B ↗
7. 10.1021/acsnano.1c0572510.1021/acsnano.1c05725 ↗
8. 10.1002/adfm.20190360510.1002/adfm.201903605 ↗
9. 10.1002/anie.20210737810.1002/anie.202107378 ↗
10. 10.1016/j.cclet.2021.08.08110.1016/j.cclet.2021.08.081 ↗
11. 10.1016/j.mtener.2022.10109510.1016/j.mtener.2022.101095 ↗
12. 10.1007/s41918-020-00075-210.1007/s41918-020-00075-2 ↗
13. 10.1021/acsnano.0c0704110.1021/acsnano.0c07041 ↗
14. 10.1016/j.esci.2022.08.00410.1016/j.esci.2022.08.004 ↗
15. 10.1016/j.nanoen.2019.05.04210.1016/j.nanoen.2019.05.042 ↗
16. 10.1021/acsnano.2c0528510.1021/acsnano.2c05285 ↗
17. 10.1016/j.ensm.2020.10.01910.1016/j.ensm.2020.10.019 ↗
18. 10.1039/D0EE02162H10.1039/D0EE02162H ↗
19. 10.1016/j.mtener.2020.10056310.1016/j.mtener.2020.100563 ↗
20. 10.20517/energymater.2022.0810.20517/energymater.2022.08 ↗
21. 10.1002/advs.20210030910.1002/advs.202100309 ↗
22. 10.1021/acsnano.1c0863810.1021/acsnano.1c08638 ↗
23. 10.1021/acsnano.2c0244810.1021/acsnano.2c02448 ↗
24. 10.1016/j.cej.2022.13826510.1016/j.cej.2022.138265 ↗
25. 10.1021/acsenergylett.0c0237110.1021/acsenergylett.0c02371 ↗
26. 10.1016/j.nanoen.2022.10722010.1016/j.nanoen.2022.107220 ↗
27. 10.1002/adma.20220174410.1002/adma.202201744 ↗
28. 10.1002/aenm.20210201010.1002/aenm.202102010 ↗
29. 10.1038/s41563-018-0063-z10.1038/s41563-018-0063-z ↗
30. 10.1002/anie.20200863410.1002/anie.202008634 ↗
31. 10.1002/anie.20201653110.1002/anie.202016531 ↗
32. 10.1039/D0SC06734B10.1039/D0SC06734B ↗
33. 10.1002/adfm.20220060610.1002/adfm.202200606 ↗
34. 10.1002/advs.20220143310.1002/advs.202201433 ↗
35. 10.1021/acsenergylett.0c0179210.1021/acsenergylett.0c01792 ↗
36. 10.1016/j.ensm.2021.10.00410.1016/j.ensm.2021.10.004 ↗
37. 10.1021/jacs.0c0979410.1021/jacs.0c09794 ↗
38. 10.1016/j.ensm.2022.07.03210.1016/j.ensm.2022.07.032 ↗
39. 10.1002/anie.20210968210.1002/anie.202109682 ↗
40. 10.1002/adma.20220273310.1002/adma.202202733 ↗
41. 10.1002/adma.20220696310.1002/adma.202206963 ↗
42. 10.1016/j.ensm.2022.02.01910.1016/j.ensm.2022.02.019 ↗
43. 10.20517/energymater.2022.4510.20517/energymater.2022.45 ↗
44. 10.1002/adfm.20220775110.1002/adfm.202207751 ↗
45. 10.1002/adfm.20210974910.1002/adfm.202109749 ↗
46. 10.1016/j.nanoen.2022.10726910.1016/j.nanoen.2022.107269 ↗
47. 10.1016/j.ensm.2021.10.03310.1016/j.ensm.2021.10.033 ↗
48. 10.1002/adfm.20211260910.1002/adfm.202112609 ↗
49. 10.1002/anie.20210575610.1002/anie.202105756 ↗
50. Frisch, M. J.; Trucks, G. W.; Schlegel, H. B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; Scalmani, G.; Barone, V.; Petersson, G. A.; Nakatsuji, H.; Li, X.; Caricato, M.; Marenich, A. V.; Bloino, J.; Janesko, B. G.; Gomperts, R.; Mennucci, B.; Hratchian, H. P.; Ortiz, J. V.; Izmaylov, A. F.; Sonnenberg, J. L.; Williams; Ding, F.; Lipparini, F.; Egidi, F.; Goings, J.; Peng, B.; Petrone, A.; Henderson, T.; Ranasinghe, D.; Zakrzewski, V. G.; Gao, J.; Rega, N.; Zheng, G.; Liang, W.; Hada, M.; Ehara, M.; Toyota, K.; Fukuda, R.; Hasegawa, J.; Ishida, M.; Nakajima, T.; Honda, Y.; Kitao, O.; Nakai, H.; Vreven, T.; Throssell, K.; Montgomery, J. A., Jr; Peralta, J. E.; Ogliaro, F.; Bearpark, M. J.; Heyd, J. J.; Brothers, E. N.; Kudin, K. N.; Staroverov, V. N.; Keith, T. A.; Kobayashi, R.; Normand, J.; Raghavachari, K.; Rendell, A. P.; Burant, J. C.; Iyengar, S. S.; Tomasi, J.; Cossi, M.; Millam, J. M.; Klene, M.; Adamo, C.; Cammi, R.; Ochterski, J. W.; Martin, R. L.; Morokuma, K.; Farkas, O.; Foresman, J. B.; Fox, D. J. Gaussian 16 Rev. C.01; Gaussian Inc.: 2016.
51. 10.1063/1.46491310.1063/1.464913 ↗
52. 10.1103/PhysRevB.37.78510.1103/PhysRevB.37.785 ↗
53. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
54. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
55. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
56. 10.1063/1.47293310.1063/1.472933 ↗
57. 10.1002/jcc.2049510.1002/jcc.20495 ↗
58. 10.1002/adma.20200302110.1002/adma.202003021 ↗
59. 10.1038/s41467-021-26947-910.1038/s41467-021-26947-9 ↗