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Deconvolution of electrochemical impedance spectroscopy data using the deep-neural-network-enhanced distribution of relaxation times

Title data

Quattrocchi, Emanuele ; Py, Baptiste ; Maradesa, Adeleke ; Meyer, Quentin ; Zhao, Chuan ; Ciucci, Francesco:
Deconvolution of electrochemical impedance spectroscopy data using the deep-neural-network-enhanced distribution of relaxation times.
In: Electrochimica Acta. Vol. 439 (2023) . - 141499.
ISSN 0013-4686
DOI: https://doi.org/10.1016/j.electacta.2022.141499

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 06:52
URI: https://eref.uni-bayreuth.de/id/eprint/75522