A Novel Kinetically‐Driven Approach to Forming Columnar {110}‐textured Lithium Metal Anodes with Extended Cycle Life
Source abstract
Abstract
Abstract Constructing {110}‐textured lithium (Li) metal anodes is a promising strategy to extend battery life. While preparation of such anodes has been the subject of a few studies, their focus has been exclusively on thermodynamically‐driven (equilibrium) strategies. Through a systematic screening of bath conditions, the study reported here identifies a novel kinetically‐driven protocol that enhances the volume fraction of {110} texture by more than fivefold compared to equilibrium approaches. The protocol involves Li deposition at high current densities or low temperatures in a commonly used LiNO3‐containing ether‐based electrolyte. Columnar {110}‐oriented grains are formed through a growth rate selection process arising from the stronger electronic coupling and faster electron transfer rate between Li(110) and Li+ cations compared to other lattice planes. LiNO3 plays a crucial role by inhibiting the deposition on the Li(110) plane less than the other planes. Simple bath condition adjustments yield optimized {110}‐textured Li anodes with improved plating/stripping homogeneity that suppresses dendrite formation and electrolyte consumption, resulting in extended cycle life in lean‐electrolyte full cells. This kinetically‐driven approach offers mechanistic insight into Li texture formation and a promising route to high‐performance Li metal anodes.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advancements in Battery Materials · Advanced Battery Materials and Technologies · Advanced Battery Technologies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory for Liquid‐Solid Structural Evolution and Processing of Materials (Ministry of Education) School of Materials Science and Engineering Shandong University Jinan Shandong 250061 P. R. China
School of Engineering & Physical Sciences Heriot‐Watt University Edinburgh EH14 4AS UK
Shenzhen Research Institute of Shandong University Shenzhen Guangdong 518057 P. R. China
Funding
National Natural Science Foundation of China · Shenzhen Science and Technology Innovation Program
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