- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Realistic fault detection of li-ion battery via dynamical deep learning ; volume:14 ; number:1 ; day:23 ; month:9 ; year:2023 ; pages:1-8 ; date:12.2023
Nature Communications ; 14, Heft 1 (23.9.2023), 1-8, 12.2023
- Creator
-
Zhang, Jingzhao
Wang, Yanan
Jiang, Benben
He, Haowei
Huang, Shaobo
Wang, Chen
Zhang, Yang
Han, Xuebing
Guo, Dongxu
He, Guannan
Ouyang, Minggao
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-023-41226-5
- URN
-
urn:nbn:de:101:1-2024020210291180381719
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:29 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Zhang, Jingzhao
- Wang, Yanan
- Jiang, Benben
- He, Haowei
- Huang, Shaobo
- Wang, Chen
- Zhang, Yang
- Han, Xuebing
- Guo, Dongxu
- He, Guannan
- Ouyang, Minggao
- SpringerLink (Online service)
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