Litcius/Paper detail

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

Markus Osenberg, André Hilger, Matthias Neumann, Amalia Wagner, Nicole Bohn, Joachim R. Binder, Volker Schmidt, John Banhart, Ingo Manke

2023Journal of Power Sources30 citationsDOI

Topics & Concepts

TomographyDetectorPorosityRandom forestMaterials scienceCharacterization (materials science)Computer scienceBattery (electricity)SIGNAL (programming language)Artificial intelligenceIterative reconstructionNanotechnologyOpticsPhysicsComposite materialTelecommunicationsProgramming languagePower (physics)Quantum mechanicsNon-Destructive Testing TechniquesElectrical and Bioimpedance TomographyMineral Processing and Grinding
Classification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers | Litcius