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AI-augmented digital twin framework for predictive thermo-mechanical degradation monitoring in solid oxide fuel cell Stacks: Integration of multi-physics models and uncertainty quantification

George Gershom Christopher, Olajide Rasheed Olalekan, Monkam Ngameni Huguette Maeva, Butera Hassan, Hassan A. A. Sayed

2025Ceramics International5 citationsDOI

Topics & Concepts

Materials scienceDegradation (telecommunications)OxideSolid oxide fuel cellFuel cellsUncertainty quantificationNanotechnologyChemical engineeringPhysical chemistryComputer scienceMetallurgyEngineeringChemistryElectronic engineeringMachine learningElectrodeAnodeAdvancements in Solid Oxide Fuel CellsFuel Cells and Related MaterialsNuclear Materials and Properties
AI-augmented digital twin framework for predictive thermo-mechanical degradation monitoring in solid oxide fuel cell Stacks: Integration of multi-physics models and uncertainty quantification | Litcius