Performance Evaluation of Convolutional Auto Encoders for the Reconstruction of Li-Ion Battery Electrode Microstructure

Performance Evaluation of Convolutional Auto Encoders for the Reconstruction of Li-Ion Battery Electrode Microstructure

Li-ion batteries play a critical role in the transition to a net-zero future. The discovery of new materials and the design of novel microstructures for battery electrodes is necessary for the acceleration of this transition. The battery electrode microstructure can potentially reveal the cells’ ele...

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Bibliographic Details
Main Authors: Mona Faraji Niri, Jimiama Mafeni Mase, James Marco
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
Li-ion battery
deep learning
autoencoder decoder
electrode microstructure
image reconstruction
Online Access:https://www.mdpi.com/1996-1073/15/12/4489

Internet

https://www.mdpi.com/1996-1073/15/12/4489

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