Machine Learning-Assisted Battery Electrode Microstructure Characterization through Secondary-Ions Imaging - Research portal of Justus Liebig University Giessen:

Meeting Abstract

Machine Learning-Assisted Battery Electrode Microstructure Characterization through Secondary-Ions Imaging

Authors list: Lombardo, Teo; Kern, Christine; Rohnke, Marcus; Sann, Joachim; Janek, Jürgen

Publication year: 2023

Journal: ECS Meeting abstracts

Volume number: 2023

Issue number: 01

DOI Link: https://doi.org/10.1149/MA2023-011398mtgabs

Conference: 243rd ECS Meeting with the Eighteenth International Symposium on Solid Oxide Fuel Cells

Publisher: Electrochemical Society

Authors/Editors

- Uni.-Prof. Dr. Jürgen Janek

Citation Styles

Harvard Citation style: Lombardo, T., Kern, C., Rohnke, M., Sann, J. and Janek, J. (2023) Machine Learning-Assisted Battery Electrode Microstructure Characterization through Secondary-Ions Imaging, ECS Meeting abstracts, 2023(01), Article 398. https://doi.org/10.1149/MA2023-011398mtgabs

APA Citation style: Lombardo, T., Kern, C., Rohnke, M., Sann, J., & Janek, J. (2023). Machine Learning-Assisted Battery Electrode Microstructure Characterization through Secondary-Ions Imaging. ECS Meeting abstracts. 2023(01), Article 398. https://doi.org/10.1149/MA2023-011398mtgabs