Machine Learning Boosting the Development of Advanced Lithium Batteries-Reference-Cited by-同舟云学术

Machine Learning Boosting the Development of Advanced Lithium Batteries

Published:2021-07-10 Issue:8 Volume:5 Page:2100442
ISSN:2366-9608
Container-title:Small Methods
language:en
Short-container-title:Small Methods

Author:

Liu Yangting¹^ORCID,Zhou Qian²,Cui Guanglei²^ORCID

Affiliation:

1. First Institute of Oceanography Ministry of Natural Resources No. 6 Xianxialing Road Qingdao 266061 China

2. Qingdao Industrial Energy Storage Research Institute Qingdao Institute of Bioenergy and Bioprocess Technology Chinese Academy of Sciences No. 189 Songling Road Qingdao 266101 China

Funder

Natural Science Foundation of Shandong Province

Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/smtd.202100442

Reference103 articles.

1. Issues and challenges facing rechargeable lithium batteries

2. Recent developments in lithium ion batteries

3. Recent progress in high-voltage lithium ion batteries

4. Materials for electrochemical capacitors

5. Electrolytes and Interphases in Li-Ion Batteries and Beyond

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