电化学
选择(遗传算法)
晶粒生长
材料科学
金属
冶金
粒度
化学
计算机科学
电极
人工智能
物理化学
作者
Minghao Zhang,Karnpiwat Tantratian,So‐Yeon Ham,Zhuo Wang,Mehdi Chouchane,Ryōsuke Shimizu,Shuang Bai,Hedi Yang,Zhao Liu,Letian Li,Amir Avishai,Lei Chen,Ying Shirley Meng
出处
期刊:Cornell University - arXiv
日期:2024-11-16
标识
DOI:10.48550/arxiv.2411.10839
摘要
Soft metals like lithium and sodium play a critical role in battery technology owing to their high energy density. Texture formation by grain selection growth of soft metals during electrochemical processes is a crucial factor affecting power and safety. Developing a framework to understand and control grain growth is a multifaceted challenge. Here, a general thermodynamic theory and phase-field model are formulated to study grain selection growth of soft metals. Our study focuses on the interplay between surface energy and atomic mobility-related intrinsic strain energy in grain selection growth. Differences in grain selection growth arise from the anisotropy in surface energy and diffusion barrier of soft metal atoms. Our findings highlight the kinetic limitations of solid-state Li metal batteries, which originate from load stress-induced surface energy anisotropy. These insights lead to the development of an amorphous LixSi1-x (0.50
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