Deep Learning Classification of Li-Ion Battery Materials Targeting Accurate Composition Classification from Laser-Induced Breakdown Spectroscopy High-Speed Analyses

Deep Learning Classification of Li-Ion Battery Materials Targeting Accurate Composition Classification from Laser-Induced Breakdown Spectroscopy High-Speed Analyses

Laser-induced breakdown spectroscopy (LIBS) is a valuable tool for the solid-state elemental analysis of battery materials. Key advantages include a high sensitivity for light elements (lithium included), complex emission patterns unique to individual elements through the full periodic table, and re...

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Bibliographic Details
Main Authors: Marie-Chloé Michaud Paradis, François R. Doucet, Steeve Rousselot, Alex Hernández-García, Kheireddine Rifai, Ouardia Touag, Lütfü Ç. Özcan, Nawfal Azami, Mickaël Dollé
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Batteries
Subjects:
laser-induced breakdown spectroscopy
Li-ion
artificial intelligence
deep learning
active material
solid-state electrolyte
Online Access:https://www.mdpi.com/2313-0105/8/11/231

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https://www.mdpi.com/2313-0105/8/11/231

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