Work

Untangling Degradation Chemistries of Lithium‐Sulfur Batteries Through Interpretable Hybrid Machine Learning

Year: 2022

Type: article

Source: Angewandte Chemie International Edition

DOI: 10.1002/anie.202214037

Authors: Xinyan Liu, Hong‐Jie Peng, Bo‐Quan Li, Xiang Chen, Zheng Li, Jia‐Qi Huang, Qiang Zhang

Institutions: University of Electronic Science and Technology of China, Beijing Institute of Technology, Tsinghua 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, University of Electronic Science and Technology of China

Awards: G5380643672, G7685085107, 基于多硫化锂难溶电解液的硫正极反应机制研究

OpenAlex ID: W4304014279

FWCI: 2.944

Cites: 51

Cited by: 57

Related to: 10