Classification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers

Erstveröffentlichung

2023

Authors

Osenberg, Markus

Hilger, Andre

Neumann, Matthias

Wagner, Amalia

Bohn, Nicole

et al.

Wissenschaftlicher Artikel

Published in

Journal of Power Sources ; 570 (2023). - Art.-Nr. 233030. - ISSN 0378-7753. - eISSN 1873-2755

Link to publication

https://dx.doi.org/10.1016/j.jpowsour.2023.233030

Faculties

Fakultät für Mathematik und Wirtschaftswissenschaften

Institutions

Institut für Stochastik

Subject headings

[Free subject headings]: 3D FIB | SEM tomography | Machine learning | Random forest | Lithium -ion battery | Microstructure | Image classification | ELECTROCHEMICAL PERFORMANCE | BATTERY ELECTRODES | SUPPORT CORROSION | CATHODE MATERIAL | ION | SEGMENTATION | MORPHOLOGY
[DDC subject group]: DDC 540 / Chemistry & allied sciences | DDC 620 / Engineering & allied operations

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