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Machine-learning-assisted prediction of long-term performance degradation on solid oxide fuel cell cathodes induced by chromium poisoning

Title data

Yang, Kaichuang ; Liu, Jiapeng ; Wang, Yuhao ; Shi, Xiangcheng ; Wang, Jingle ; Lu, Qiyang ; Ciucci, Francesco ; Yang, Zhibin:
Machine-learning-assisted prediction of long-term performance degradation on solid oxide fuel cell cathodes induced by chromium poisoning.
In: Journal of Materials Chemistry A. Vol. 10 (2022) Issue 44 . - pp. 23683-23690.
ISSN 2050-7496
DOI: https://doi.org/10.1039/d2ta03944c

Official URL: Volltext

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Professor Electrode Design of Electrochemical Energy Storage Systems > Professor Electrode Design of Electrochemical Energy Storage Systems - Univ.-Prof. Dr. Francesco Ciucci
Faculties
Faculties > Faculty of Engineering Science > Professor Electrode Design of Electrochemical Energy Storage Systems
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 11 Apr 2023 06:44
Last Modified: 14 Apr 2023 06:53
URI: https://eref.uni-bayreuth.de/id/eprint/75531