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Machine Learning-Guided Precise Electrolyte Engineering Enables Stable Lithium Metal Pouch Cells Exceeding 350 Wh/kg at −40 °C

Year: 2026

Type: article

Source: Journal of the American Chemical Society

DOI: 10.1021/jacs.6c16293

Authors: Zichun Xiao, Yong Li, Yankai Zheng, Ruohong Ke, Yangyang Liu, Zhenxin Huang, Xu Zhang, Yu Liu, Zhen Li, Xiangwen Gao, Bing Han, Yuping Wu, Renyi Shi, Wei Tang, Yaling He

Institutions: Xi'an Jiaotong University, Eastern Institute of Technology, Shanghai Jiao Tong University, Southeast University

Language: English

Topic: Advanced Battery Materials and Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities, Shanxi Provincial Key Research and Development Project

OpenAlex ID: W7224909385

FWCI:

Cites: 69

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Related to: 10