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Deep learning morphological distribution analysis of metal alloy catalysts in proton exchange membrane fuel cells

Sang‐Hyeok Yang, Eun‐Byeol Park, Sung Yong Cho, Yun Sik Kang, Hyeon-Ah Ju, Yerin Jeon, Daehee Yang, Sung‐Dae Yim, Sung-Chul Lee, Young‐Min Kim

2023Materials Today Energy14 citationsDOI

Topics & Concepts

Materials scienceConvolutional neural networkProton exchange membrane fuel cellDeep learningCatalysisAlloyArtificial intelligenceArtificial neural networkNanoparticleTransmission electron microscopyBiological systemMetalNanotechnologyPorosityFuel cellsPattern recognition (psychology)Chemical engineeringComputer scienceMetallurgyComposite materialEngineeringBiologyBiochemistryChemistryFuel Cells and Related MaterialsElectrocatalysts for Energy ConversionMachine Learning in Materials Science
Deep learning morphological distribution analysis of metal alloy catalysts in proton exchange membrane fuel cells | Litcius