Deep learning-based segmentation of lithium-ion battery microstructures enhanced by artificially generated electrodes

Accurate 3D representations of lithium-ion battery electrodes, in which the active particles, binder and pore phases are distinguished and labeled, can assist in understanding and ultimately improving battery performance. Here, we demonstrate a methodology for using deep-learning tools to achieve re...

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Detalles Bibliográficos
Autores principales: Müller, Simon, Sauter, Christina, Shunmugasundaram, Ramesh, Wenzler, Nils, De Andrade, Vincent, De Carlo, Francesco, Konukoglu, Ender, Wood, Vanessa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551326/
https://www.ncbi.nlm.nih.gov/pubmed/34707110
http://dx.doi.org/10.1038/s41467-021-26480-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8551326/
https://www.ncbi.nlm.nih.gov/pubmed/34707110
http://dx.doi.org/10.1038/s41467-021-26480-9

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