- 1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- 2University of Macau, Taipa, Macao SAR, China
- 3Northeast Electric Power University, Jilin, China
A Correction on 
A hybrid LSTM-transformer model for accurate
by Zhao T, Zhang Y, Wang M, Feng W, Cao S and Wang G (2025). Front. Electron. 6:1654344. doi: 10.3389/felec.2025.1654344
The Title of this article was erroneously given as: “A hybrid LSTM-transformer model for accurate”. The correct title of the article is “A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries”.
The original article has been updated
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Keywords: lithium-ion battery, remaining useful life, LSTM, transformer, time-series prediction
Citation: Zhao T, Zhang Y, Wang M, Feng W, Cao S and Wang G (2025) Correction: A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries. Front. Electron. 6:1693752. doi: 10.3389/felec.2025.1693752
Received: 27 August 2025; Accepted: 13 October 2025;
Published: 27 October 2025.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2025 Zhao, Zhang, Wang, Feng, Cao and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yanhui Zhang, emhhbmd5aEBzaWF0LmFjLmNu
 Minghao Wang2
Minghao Wang2