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

Erstveröffentlichung
2023Authors
Osenberg, Markus
Hilger, Andre
Neumann, Matthias
Wagner, Amalia
Bohn, Nicole
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.2023.233030Faculties
Fakultät für Mathematik und WirtschaftswissenschaftenInstitutions
Institut für StochastikSubject 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