PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 8, 2026Chemistry - A European Journal0 citations

Mitigated Mn Dissolution and Improved Cycling Stability of LiNi 0.5 Mn 1.5 O 4 Spinel Cathodes by Zinc Doping

View Full Paper
JWJing‐Zhe WanCZChao ZhangLGL. Gao

Key Points

  • The aim is to evaluate the effects of zinc doping on the cycling stability and transition-metal dissolution in LiNi0.5Mn1.5O4 cathodes.
  • Prepared Zn-doped LiNi0.5Mn1.5O4 structures
  • Examined electrochemical performance over 1000 cycles
  • Measured capacity retention and voltage decline
  • Zn-doped LNMO retains 81.2% of its capacity after 1000 cycles
  • Average voltage decline is just 0.06 mV per cycle
  • Doping improves both structural robustness and electrochemical performance

Abstract

ABSTRACT The spinel compound LiNi 0.5 Mn 1.5 O 4 (LNMO) has attracted increasing attention as a potential cathode material for high‐energy lithium‐ion batteries (LIBs) of the next generation. Despite its attractive properties, LNMO suffers from transition‐metal ion dissolution and pronounced capacity fading, which significantly limit its practical implementation. To address these limitations, Zn is introduced into the LNMO structure to prepare Zn‐doped LNMO, designed to stabilize the 16c and 8a sites and thus improve its electrochemical performance. This doping approach improves the structural robustness of LNMO and significantly suppresses Mn dissolution during electrochemical cycling. Even after 1000 cycles at a current rate of 1 C (1 C = 147 mA g −1 ), the Zn‐LNMO sample maintains 81.2% of its original capacity, demonstrating substantially improved capacity retention. Moreover, the Zn‐LNMO electrode maintains 98.8% of its initial voltage after 1000 cycles, and the corresponding average decline in voltage is as low as 0.06 mV for each cycle. This study establishes an atomically engineered doping concept that can be generalized to various cathode systems and serves as an effective guideline for designing high‐performance LIBs.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wan et al. (2026) studied this question.

synapsesocial.com/papers/698828620fc35cd7a8847df0https://doi.org/10.1002/chem.202503553
Ask AI
Helpful
Bookmark
Share
View Full Paper