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The deep-DRT : A deep neural network approach to deconvolve the distribution of relaxation times from multidimensional electrochemical impedance spectroscopy data

Title data

Quattrocchi, Emanuele ; Wan, Ting Hei ; Belotti, Alessio ; Kim, Dohyung ; Pepe, Simona ; Kalinin, Sergei V. ; Ahmadi, Mahshid ; Ciucci, Francesco:
The deep-DRT : A deep neural network approach to deconvolve the distribution of relaxation times from multidimensional electrochemical impedance spectroscopy data.
In: Electrochimica Acta. Vol. 392 (2021) . - 139010.
ISSN 0013-4686
DOI: https://doi.org/10.1016/j.electacta.2021.139010

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/75555