降级(电信)
材料科学
能量密度
镍
冶金
电池(电)
化学工程
能量(信号处理)
储能
工作(物理)
作者
Chongteng Wu,Dongrui Xu,Yongjian Li,Tong Liu,Junhao Xie,Weiqiang Luo,Zhenwei Wu,Yuefeng Su,Duanyun Cao
摘要
Machine-learning-driven global exploration uncovers the atomic-scale degradation mechanisms of LiNiO 2 cathodes during delithiation, revealing facet-dependent reconstruction pathways and dopant effects to guide high-stability cathode design.
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