Understanding the Correlation between Lithium Dendrite Growth and Local Material Properties by Machine Learning

Yirui Ma, Tianwei Jin, Rishav Choudhury, Qian Cheng, Yupeng Miao, Changxi Zheng, Wei Min, Yuan Yang*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

6 引用 (Scopus)
Plum Print visual indicator of research metrics
  • Citations
    • Citation Indexes: 6
  • Captures
    • Readers: 20
see details

摘要

Lithium metal batteries are attractive for next-generation energy storage because of their high energy density. A major obstacle to their commercialization is the uncontrollable growth of lithium dendrites, which arises from complicated but poorly understood interactions at the electrolyte/electrode interface. In this work, we use a machine learning-based artificial neural network (ANN) model to explore how the lithium growth rate is affected by local material properties, such as surface curvature, ion concentration in the electrolyte, and the lithium growth rates at previous moments. The ion concentration in the electrolyte was acquired by Stimulated Raman Scattering Microscopy, which is often missing in past experimental data-based modeling. The ANN network reached a high correlation coefficient of 0.8 between predicted and experimental values. Further sensitivity analysis based on the ANN model demonstrated that the salt concentration and concentration gradient, as well as the prior lithium growth rate, have the highest impacts on the lithium dendrite growth rate at the next moment. This work shows the potential capability of the ANN model to forecast lithium growth rate, and unveil the inner dependency of the lithium dendrite growth rate on various factors.

源语言英语
文章编号090523
期刊Journal of the Electrochemical Society
168
9
DOI
出版状态已出版 - 9月 2021
已对外发布

指纹

探究 'Understanding the Correlation between Lithium Dendrite Growth and Local Material Properties by Machine Learning' 的科研主题。它们共同构成独一无二的指纹。

引用此

Ma, Y., Jin, T., Choudhury, R., Cheng, Q., Miao, Y., Zheng, C., Min, W., & Yang, Y. (2021). Understanding the Correlation between Lithium Dendrite Growth and Local Material Properties by Machine Learning. Journal of the Electrochemical Society, 168(9), 文章 090523. https://doi.org/10.1149/1945-7111/ac201d