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Novel strategy to accelerate design of high-performance lithium metal batteries

Novel strategy to accelerate design of high-performance lithium metal batteries
Scheme of the inorganic-organic hybrid interphase layer strategy by self-assembled monolayers method with the aid of machine learning to accelerate material design. Credit: SIAT

Lithium metal batteries (LMBs) have attracted much attention for their potential in electronics and electric vehicle applications. However, issues such as the growth of Li dendrites and undesirable side reactions with electrolytes during electrochemical cycling hinder their widespread commercialization.

A research team led by Prof. Xue Dongfeng and Dr. Peng Chao from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Sciences (CAS) has recently introduced a novel inorganic-organic hybrid interphase layer strategy based on self-assembled monolayers method.

The strategy endows the Li metal anode interface with good mechanical stability and excellent ionic conductivity and induces Li uniform deposition and suppression of Li dendrite growth. The results were published in the journal Matter.

The researchers applied the high-throughput data-driven workflow to enable intelligent design of self-assembled . The workflow contains screening criterions of self-assembled molecule characteristics, electrochemical stability of molecules, chemical stability and ionic conductivity of interphase protection layer, and it can automatically capture targeted self-assembled molecules from the PubChem database.

This new research paradigm accelerates the for selecting the most promising candidate molecules, and allows intelligent design of artificial interphase layer of Li metal anode by leveraging machine learning techniques.

Furthermore, the researchers revealed the structure-performance relationship between the molecule structural characteristics (head group, tail group and middle group) as well as the and the performance of the protection layer, where the quantum mechanical dipole and electrostatic potential of molecules were identified as significant descriptors to predict the energy barrier of Li diffusion through the hybrid protection layer.

They established a database consisting of 128 self-assembled organic molecule candidates selected from the PubChem database and suggested eight best molecules to favor constructing the inorganic-organic hybrid interphase layer at Li metal anode.

These molecules with a terminated fluoride head group (-F) allow the formation of an LiF inner inorganic interphase that improves the stability and ionic conductivity of the interphase layer on the Li anode, while the outer linear organic layer provides enriched 3D porous channels that facilitate Li diffusion and guide Li uniform deposition and suppress Li dendrite growth.

"Our study opens up new possibilities for the development of more efficient and safer ," said Dr. Peng, corresponding author of the study.

More information: Qi Zhang et al, Data-driven discovery and intelligent design of artificial hybrid interphase layer for stabilizing lithium-metal anode, Matter (2023). DOI: 10.1016/j.matt.2023.06.010

Journal information: Matter

Citation: Novel strategy to accelerate design of high-performance lithium metal batteries (2023, August 22) retrieved 27 April 2024 from https://phys.org/news/2023-08-strategy-high-performance-lithium-metal-batteries.html
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