GLOBAL2024

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Track 3

Components

Tue. Oct 8, 2024 10:40 AM - 11:40 AM Room A1 (4F)

Chair: David L. Chichester (Idaho National Laboratory)

11:00 AM - 11:20 AM

[2A1-02-02] Utilizing Machine Learning Techniques to Understand Microstructural Changes in Irradiated U-Zr Annular Fuel

*Mary Elizabeth Sevart1, Mitchell Mika1, Fei Xu2, Tiankai Yao2, Luca Capriotti2, Assel Aitkaliyeva1 (1. University of Florida (United States of America), 2. Idaho National Laboratory (United States of America))

Keywords:Metallic Fuels, Porosity, Machine Learning, Microstructural Properties, Irradiation Effects

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