Unlocking the potential of Ni-rich LiNi0.9Co0.1O2 cathodes: a DFT investigation of performance-limiting factors

IF 2.9 3区 化学 Q3 CHEMISTRY, PHYSICAL
Temitayo Ojuetimi Ikuerowo, Olusegun Tomomewo, Salawu Omotayo Akande
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引用次数: 0

Abstract

Ni-rich layered oxides, particularly LiNi0.9Co0.1O2, have garnered significant attention in the realm of high-capacity cathodes for lithium-ion batteries. Despite their promise, their commercialization is hindered by challenges related to structural instability and defect formation. This study utilizes density functional theory (DFT) to unravel the intricate structural, defect formation, and transport properties of LiNi0.9Co0.1O2, thereby providing insights into the performance-limiting factors. Our findings reveal that a 10% cobalt doping while enhancing lithium mobility, is insufficient to significantly mitigate antisite defects and oxygen vacancy formation. These defects are critical in influencing the electrochemical performance and durability of the material. The study further delves into the implications of defect formation on the electrochemical characteristics, emphasizing the need for a higher concentration of cobalt doping to effectively stabilize the Ni-rich cathode. This theoretical investigation contributes to the understanding of defect behaviors in Ni-rich cathodes and paves the way for optimized material design in future high-energy-density battery technologies.

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来源期刊
Physical Chemistry Chemical Physics
Physical Chemistry Chemical Physics 化学-物理:原子、分子和化学物理
CiteScore
5.50
自引率
9.10%
发文量
2675
审稿时长
2.0 months
期刊介绍: Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.
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