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Developing the nuclear power systems of the future requires innovative thinking and new approaches to solving complex challenges. For the first time, a team of Idaho National Laboratory (INL) and University of Idaho researchers has successfully applied machine learning to characterizing the microstructure of metallic nuclear fuel, the fine details only visible under powerful magnification.

University of idahoUnited statesFei xuTiankai yaoLaura thomsonmayLuca capriottiData analytics labMaterials characterization laboratoryUniversity of idaho machine intelligenceIdaho national laboratoryDepartment of energy office nuclearMin xianMachine intelligenceData analyticsNuclear energy