Machine learning super-resolution of laboratory CT images in all-solid-state batteries using synchrotron radiation CT as training data

Machine learning super-resolution of laboratory CT images in all-solid-state batteries using synchrotron radiation CT as training data

High-performance all-solid-state lithium-ion batteries require observation, control, and optimization of the electrode structure. X-ray computational tomography (CT) is an effective nondestructive method for observing the electrode structure in three dimensions. However, the limited availability of...

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Bibliographic Details
Main Authors: M. Kodama, A. Takeuchi, M. Uesugi, S. Hirai
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Energy and AI
Subjects:
All-solid-state lithium-ion battery
X-ray CT
Laboratory CT
Synchrotron radiation CT
Super-resolution
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546823000770

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http://www.sciencedirect.com/science/article/pii/S2666546823000770

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