Michaud Paradis, M.-C.; Doucet, F.R.; Rousselot, S.; Hernández-GarcÃa, A.; Rifai, K.; Touag, O.; Özcan, L.Ç.; Azami, N.; Dollé, M.
Deep Learning Classification of Li-Ion Battery Materials Targeting Accurate Composition Classification from Laser-Induced Breakdown Spectroscopy High-Speed Analyses. Batteries 2022, 8, 231.
https://doi.org/10.3390/batteries8110231
AMA Style
Michaud Paradis M-C, Doucet FR, Rousselot S, Hernández-GarcÃa A, Rifai K, Touag O, Özcan LÇ, Azami N, Dollé M.
Deep Learning Classification of Li-Ion Battery Materials Targeting Accurate Composition Classification from Laser-Induced Breakdown Spectroscopy High-Speed Analyses. Batteries. 2022; 8(11):231.
https://doi.org/10.3390/batteries8110231
Chicago/Turabian Style
Michaud Paradis, Marie-Chloé, François R. Doucet, Steeve Rousselot, Alex Hernández-GarcÃa, Kheireddine Rifai, Ouardia Touag, Lütfü Ç. Özcan, Nawfal Azami, and Mickaël Dollé.
2022. "Deep Learning Classification of Li-Ion Battery Materials Targeting Accurate Composition Classification from Laser-Induced Breakdown Spectroscopy High-Speed Analyses" Batteries 8, no. 11: 231.
https://doi.org/10.3390/batteries8110231
APA Style
Michaud Paradis, M.-C., Doucet, F. R., Rousselot, S., Hernández-GarcÃa, A., Rifai, K., Touag, O., Özcan, L. Ç., Azami, N., & Dollé, M.
(2022). Deep Learning Classification of Li-Ion Battery Materials Targeting Accurate Composition Classification from Laser-Induced Breakdown Spectroscopy High-Speed Analyses. Batteries, 8(11), 231.
https://doi.org/10.3390/batteries8110231
