MXenesLi-S

Jianqiang Wang1, Haiyuan Chen1, Yin Hu1

  • 1School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 611731, P.R. China. hychen@uestc.edu.cn.

Nanoscale
|March 11, 2026
PubMed
概括

研究人员开发了一个新的AI框架,以发现硫电池的先进材料. 这种方法有效地识别出有希望的二维过渡金属碳化物/化物 (MXenes) 来聚硫化物,提高电池的稳定性和性能.

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