Analysis of Electrochemical Impedance Data: Use of Deep Neural Networks

Analysis of Electrochemical Impedance Data: Use of Deep Neural Networks

Technology advancements in energy storage, photocatalysis, and sensors have generated enormous impedimetric data. Electrochemical impedance spectroscopy (EIS) results play an essential role in analyzing the interfacial properties of materials. Nonetheless, in many situations, the data is misinterpre...

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Bibliographic Details
Main Authors: Dulyawat Doonyapisut, Padmanathan-Karthick Kannan, Byeongkyu Kim, Jung Kyu Kim, Eunseok Lee, Chan-Hwa Chung
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:Advanced Intelligent Systems
Subjects:
deep learning
EIS analysis
EIS prediction
impedance machine learning
Online Access:https://doi.org/10.1002/aisy.202300085

Internet

https://doi.org/10.1002/aisy.202300085

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