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FIRG025 - Quantitative assessment of machine-learning segmentation of battery electrode materials for active material quantification (2023)

First Author: Bailey J.J.

Attributed to: The Faraday Institution funded by ISCF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.jpowsour.2022.232503

Publication URI: http://dx.doi.org/10.1016/j.jpowsour.2022.232503

Type: Journal Article/Review

Volume: 557

Parent Publication: Journal of Power Sources

ISSN: 03787753