工具箱
纳米技术
原位
系统工程
生化工程
工艺工程
环境科学
计算机科学
材料科学
工程类
化学
机械工程
有机化学
作者
Jing Yu,Ivan Pinto‐Huguet,Chaoyue Zhang,Yingtang Zhou,Yaolin Xu,Alen Vižintin,Juan‐Jesús Velasco‐Vélez,Xueqiang Qi,Xiaobo Pan,Gozde Oney,Annabel Olgo,Katharina Märker,Leonardo M. Da Silva,Yufeng Luo,Yan Lü,Chen Huang,Eneli Härk,Joe Fleming,Pascale Chenevier,Andreu Cabot
出处
期刊:ACS energy letters
[American Chemical Society]
日期:2024-12-04
卷期号:9 (12): 6178-6214
被引量:5
标识
DOI:10.1021/acsenergylett.4c02703
摘要
Batteries based on sulfur cathodes offer a promising energy storage solution due to their potential for high performance, cost-effectiveness, and sustainability. However, commercial viability is challenged by issues such as polysulfide migration, volume changes, uneven phase nucleation, limited ion transport, and sluggish sulfur redox kinetics. Addressing these challenges requires insights into the structural, morphological, and chemical evolution of phases, the associated volume changes and internal stresses, and ion and polysulfide diffusion within the battery. Such insights can only be obtained through real-time reaction monitoring within the battery's operational environment, supported by molecular dynamics simulations and advanced artificial intelligence-driven data analysis. This review provides an overview of
科研通智能强力驱动
Strongly Powered by AbleSci AI