Artificial intelligence for the understanding of electrolyte chemistry and electrode interface in li...
Artificial intelligence for the understanding of electrolyte chemistry and electrode interface in lithium battery
About this item
Full title
Author / Creator
Chen, Yawei , Liu, Yue , He, Zixu , Xu, Liang , Yu, Peiping , Sun, Qintao , Li, Wanxia , Jie, Yulin , Cao, Ruiguo , Cheng, Tao and Jiao, Shuhong
Publisher
Beijing: EDP Sciences
Journal title
Language
English
Formats
Publication information
Publisher
Beijing: EDP Sciences
Subjects
More information
Scope and Contents
Contents
Recognizing the critical role of electrolyte chemistry and electrode interfaces in the performance and safety of lithium batteries, along with the urgent need for more sophisticated methods of analysis, this comprehensive review underscores the promise of machine learning (ML) models in this research field. It explores the application of these inno...
Alternative Titles
Full title
Artificial intelligence for the understanding of electrolyte chemistry and electrode interface in lithium battery
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_3180969432
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3180969432
Other Identifiers
ISSN
2097-1168
E-ISSN
2097-1400
DOI
10.1360/nso/20230039
