神经网络启发的绑定器可实现快速的离子运输和高压力适应Si阳极

Baoyu Sun1, Xingxing Jiao1, Jiangning Liu1

  • 1State Key Laboratory for Mechanical Behavior of Materials, Shaanxi International Research Center for Soft Matter, School of Future Technology, Xi'an Jiaotong University, Xi'an 710049, China.

Nano letters
|June 13, 2024
PubMed
概括

一种新的仿生粘合剂通过提高离子导电性和机械稳定性来增强高容量电池的阳极. 这项创新解决了当前电池技术的局限性,为能源密集的应用铺平了道路.