A Strategy for Mitigating Lattice Stress and Enhancing Cycle Stability Through Modulating Transition Metal Redox Sequence.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Yushan Ma, Jinkun Wang, Xincun Tang, Li Wang, Xiangming He
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引用次数: 0

Abstract

Modifying the redox properties of transition metals within layered cathode materials represents a pivotal approach in the pursuit of high-performance cathode materials. The recent research has revealed a novel finding: the introduction of Mg2+ into LiNi1/3Co1/3Mn1/3O2 leads to a shift in the oxidation sequence of transition metals during lithium extraction, with Co3+ supplanting Ni2+ as the primary oxidized species during the initial stages of lithium extraction. This alteration in the lattice constants and volume, among other structural parameters, serves to mitigate lattice stress during the charging and discharging cycles. The abundance of Co4+ during the early stages of lithium extraction effectively curtails structural alterations and the dissolution of transition metal ions, thereby bolstering the material's cyclability. This effect is attributed to the enhanced Ni─O bond strength imparted by Mg2+ doping, which, in concert with Co3+, stabilizes the Li─O structure at the outset of lithium extraction, conferring a thermodynamic advantage to Co3+ for preferential oxidation. The exploration of the underlying mechanism of this induced effect and its influence on electrochemical performance holds the potential to offer fresh perspectives for the design of materials with exceptional cycle stability.

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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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