材料科学
纳米技术
合金
Boosting(机器学习)
锂(药物)
电极
调制(音乐)
设计要素和原则
双重角色
对偶(语法数字)
合理设计
动力学
金属
金属锂
氧化还原
材料设计
性能增强
金属有机骨架
调解人
法拉第效率
光电子学
芯(光纤)
作者
Jianshuang Wei,Xin Guo,Jingkun Wu,Xia Li,Miaoyu Lu,Yunfeng Zhang,Yao Tang,Yiming Shi,Yixiong Feng,Zixiong Shi,Yingze Song,Xiuju Song,Jingyu Sun
出处
期刊:ACS Nano
[American Chemical Society]
日期:2026-11-10
标识
DOI:10.1021/acsnano.6c18045
摘要
Abstract High-entropy alloys (HEAs) have emerged as appealing candidates to achieve performance regulation in Li–S batteries. Nevertheless, the design principles and working mechanisms of HEAs for dual electrodes remain elusive because of their structural disorder and chemical complexity. Herein, we propose a data-driven maneuver to enable rapid and precise screening of a customized HEA nanocatalyst (FeCoNiCuVMn, 6E-HEAs) via a performance-oriented theoretical criterion in the realm of Li–S electrochemistry. The delicate modulation of atomic interplay in 6E-HEAs simultaneously accelerates sulfur redox kinetics and stabilizes lithium metal deposition. Consequently, Li–S batteries sustain favorable cycling performance at 1.0 C over 1000 cycles while affording a capacity decay rate of merely 0.067% per cycle. The pouch cell harvests a specific capacity of 884.8 mAh g–1 at 0.5 C with steady cyclic operation. Our study elucidates crucial roles of effective compositional gain in boosting bidirectional Li–S electrocatalysis, offering atomic-level insights into HEA design for electrocatalytic reactions.
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