Article ; Online: Computer-Vision-Based Approach to Classify and Quantify Flaws in Li-Ion Electrodes.
Small methods
2022 Volume 6, Issue 10, Page(s) e2200887
Abstract: X-ray computed tomography (X-ray CT) is a non-destructive characterization technique that in recent years has been adopted to study the microstructure of battery electrodes. However, the often manual and laborious data analysis process hinders the ... ...
Abstract | X-ray computed tomography (X-ray CT) is a non-destructive characterization technique that in recent years has been adopted to study the microstructure of battery electrodes. However, the often manual and laborious data analysis process hinders the extraction of useful metrics that can ultimately inform the mechanisms behind cycle life degradation. This work presents a novel approach that combines two convolutional neural networks to first locate and segment each particle in a nano-CT LiNiMnCoO |
---|---|
MeSH term(s) | Image Processing, Computer-Assisted/methods ; Neural Networks, Computer ; Tomography, X-Ray Computed/methods ; Computers ; Electrodes |
Language | English |
Publishing date | 2022-09-11 |
Publishing country | Germany |
Document type | Journal Article |
ISSN | 2366-9608 |
ISSN (online) | 2366-9608 |
DOI | 10.1002/smtd.202200887 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
Full text online
More links
Kategorien
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.
Inter-library loan at ZB MED
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.