journal article·2026-01-28

Unlocking Multi-Electron Reactions in NASICON-Na 1+ x V x Ti 2- x (PO 4 ) 3 Cathodes through a Synergistic DFT and Experimental Approach

Jing Yang, Yizheng Zhang, Yiran Zheng, Liang Zhang, Bin Liao, Ao Li, Yuxuan Liu, Luyi Huang, Hedong Chen, Xianhua Hou

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Abstract

Sodium-ion batteries (SIBs) are considered a promising alternative to lithium-ion batteries due to the abundance and low cost of sodium resources, wherein cathode materials play a critical role in determining their performance. The vanadium-based phosphate Na 1+ x V x Ti 2- x (PO 4 ) 3 is considered a promising cathode for sodium-ion batteries (SIBs) due to its high capacity and structural stability. However, the high reactivity of V 3+ during redox reactions results in rapid capacity fading, while a higher Ti 3+ proportion reduces the achievable capacity. In this work, we systematically tune the V/Ti ratio of NASICON-type Na 1+ x V x Ti 2- x (PO 4 ) 3 to obtain cathode materials with optimized electrochemical performance and study the crystal structure and battery performance of Na 2 VTi(PO 4 ) 3 . Density functional theory (DFT) calculations were used to predict the voltage plateau and phase stability of Na 2 VTi(PO 4 ) 3, indicating a low volume change (∼6.89%). Experiments indicated that elevated vanadium content promotes the activity of V 2+/3+ and V 3+/4+ redox couples, which facilitates multielectron reactions and improves specific capacity. Meanwhile, the Ti 3+/4+ redox couple contributes to structural integrity and supplementary charge compensation. Leveraging the synergy between V and Ti, the Na 1.6 V 0.6 Ti 1.4 (PO 4 ) 3 composition was determined to be optimal. This material exhibited an initial discharge capacity of 144.83 mAh g – 1 at 0.2C, with a capacity retention of 92.42% over 500 cycles, as well as outstanding rate performance and cycling reversibility. This study provides both theoretical and experimental guidance for designing high-performance, long-life cathode materials for SIBs.
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Research context

OpenAlex topics: Advancements in Battery Materials · Advanced Battery Materials and Technologies · Thermal Expansion and Ionic Conductivity

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

Affiliations

Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics

South China Normal University

Guangdong Engineering Technology Research Center of Efficient Green Energy and Environment Protection Materials, School of Electronic Science and Engineering (School of Microelectronics)

School of Artificial Intelligence

School of Economics and Management

SCNU Qingyuan Institute of Science and Technology Innovation Co., Ltd.,

Funding

National Natural Science Foundation of China · Guangdong Basic and Applied Basic Research Foundation · Guangdong Science and Technology Plan Project · Zhanjiang Science and Technology Project

References (59)

Show source-provided references
1. 10.1002/anie.20240302210.1002/anie.202403022 ↗
2. 10.1038/nature2598410.1038/nature25984 ↗
3. 10.1016/j.mattod.2023.02.00710.1016/j.mattod.2023.02.007 ↗
4. 10.1007/s12598-025-03412-w10.1007/s12598-025-03412-w ↗
5. 10.1002/adfm.20242384110.1002/adfm.202423841 ↗
6. 10.1016/j.esci.2024.10027410.1016/j.esci.2024.100274 ↗
7. 10.1007/s40820-024-01351-210.1007/s40820-024-01351-2 ↗
8. 10.20517/energymater.2022.7010.20517/energymater.2022.70 ↗
9. 10.1039/D3CS00929G10.1039/D3CS00929G ↗
10. 10.1039/D4CS00415A10.1039/D4CS00415A ↗
11. 10.1021/acs.accounts.2c0069010.1021/acs.accounts.2c00690 ↗
12. 10.1002/adma.20230513510.1002/adma.202305135 ↗
13. 10.1002/smll.20170311610.1002/smll.201703116 ↗
14. 10.1002/adma.20231247110.1002/adma.202312471 ↗
15. 10.1002/adfm.20190844510.1002/adfm.201908445 ↗
16. 10.1016/j.progsolidstchem.2024.10045210.1016/j.progsolidstchem.2024.100452 ↗
17. 10.1016/j.cej.2024.15347110.1016/j.cej.2024.153471 ↗
18. 10.1002/aenm.20150172710.1002/aenm.201501727 ↗
19. 10.1002/aenm.20170305510.1002/aenm.201703055 ↗
20. 10.1002/adma.20230442810.1002/adma.202304428 ↗
21. 10.1016/j.jcis.2025.01.16610.1016/j.jcis.2025.01.166 ↗
22. 10.1016/j.esci.2021.12.00810.1016/j.esci.2021.12.008 ↗
23. 10.1002/cey2.22210.1002/cey2.222 ↗
24. 10.1039/C8NR09391A10.1039/C8NR09391A ↗
25. 10.1021/acsnano.3c0951910.1021/acsnano.3c09519 ↗
26. 10.1016/j.pmatsci.2023.10112810.1016/j.pmatsci.2023.101128 ↗
27. 10.1016/j.ensm.2025.10446210.1016/j.ensm.2025.104462 ↗
28. 10.1002/adma.20241435810.1002/adma.202414358 ↗
29. 10.1016/j.pmatsci.2024.10142410.1016/j.pmatsci.2024.101424 ↗
30. 10.1016/j.cej.2024.15430410.1016/j.cej.2024.154304 ↗
31. 10.1016/j.jallcom.2024.17512310.1016/j.jallcom.2024.175123 ↗
32. 10.1016/j.nanoen.2024.10984210.1016/j.nanoen.2024.109842 ↗
33. 10.1016/j.jallcom.2019.02.20210.1016/j.jallcom.2019.02.202 ↗
34. 10.1016/j.cej.2023.14246410.1016/j.cej.2023.142464 ↗
35. 10.1007/s12598-024-03009-910.1007/s12598-024-03009-9 ↗
36. 10.1002/aenm.20230273310.1002/aenm.202302733 ↗
37. 10.1002/adma.20240891810.1002/adma.202408918 ↗
38. 10.1002/adfm.20231401910.1002/adfm.202314019 ↗
39. 10.1002/aenm.20220397110.1002/aenm.202203971 ↗
40. 10.1039/D3EE02934D10.1039/D3EE02934D ↗
41. 10.1002/smll.20240227510.1002/smll.202402275 ↗
42. 10.1002/aenm.20250044810.1002/aenm.202500448 ↗
43. 10.1021/acsami.4c2179710.1021/acsami.4c21797 ↗
44. 10.1002/aenm.20250006910.1002/aenm.202500069 ↗
45. 10.1002/smtd.20230127710.1002/smtd.202301277 ↗
46. 10.1002/jcc.2105710.1002/jcc.21057 ↗
47. 10.1080/10408436.2013.77250310.1080/10408436.2013.772503 ↗
48. 10.1021/acs.jpclett.6b0078010.1021/acs.jpclett.6b00780 ↗
49. 10.1002/aenm.20170299810.1002/aenm.201702998 ↗
50. 10.1039/D0CP00772B10.1039/D0CP00772B ↗
51. 10.1103/PhysRevB.75.03511510.1103/PhysRevB.75.035115 ↗
52. 10.1103/PhysRevB.57.150510.1103/PhysRevB.57.1505 ↗
53. VESTA: A three-dimensional visualization system for electronic and structural analysis-All Databases ; https://webofscience.clarivate.cn/wos/alldb/full-record/WOS:000255902400021 (Accessed 2025–09–15).
54. 10.1038/ncomms1588810.1038/ncomms15888 ↗
55. 10.1021/acsami.1c0166310.1021/acsami.1c01663 ↗
56. Examination of the revised Kuhelka-Munk theory: Considerations of modeling strategies-All Databases ; https://webofscience.clarivate.cn/wos/alldb/full-record/WOS:000243517600029 (Accessed 2025–09–15).
57. 10.1016/j.ceramint.2019.03.07410.1016/j.ceramint.2019.03.074 ↗
58. 10.1002/adfm.20200128910.1002/adfm.202001289 ↗
59. 10.1023/A:101517162681910.1023/A:1015171626819 ↗