Litcius/Paper detail

Integrated application of semantic segmentation-assisted deep learning to quantitative multi-phased microstructural analysis in composite materials: Case study of cathode composite materials of solid oxide fuel cells

Heesu Hwang, Sung Min Choi, Jiwon Oh, Seung‐Muk Bae, Jong‐Ho Lee, Jae-Pyeong Ahn, Jeong‐O Lee, Ki‐Seok An, Young Yoon, Jin‐Ha Hwang

2020Journal of Power Sources40 citationsDOI

Topics & Concepts

Triple phase boundaryCathodeComposite numberMaterials scienceSegmentationSolid oxide fuel cellFocused ion beamComputer sciencePhase (matter)Artificial intelligenceElectrodeAnodeComposite materialIonEngineeringChemistryElectrical engineeringOrganic chemistryPhysical chemistryAdvancements in Solid Oxide Fuel CellsNuclear Materials and PropertiesMachine Learning in Materials Science