About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
|
Symposium
|
Seaborg Institutes: Emerging Topics in Actinide Materials and Science
|
Presentation Title |
Advanced Characterization to Support the Accelerated Qualification of Nuclear Fuels |
Author(s) |
Joshua T. White |
On-Site Speaker (Planned) |
Joshua T. White |
Abstract Scope |
Qualification of nuclear fuels for use in modern nuclear reactors currently requires lengthy, and costly, irradiation test campaigns to provide assurance of the reactor performance under a variety of scenarios. The Nuclear Regulatory Commission is interested in advanced modeling and simulation methods to expedite the qualification of fuels by utilizing improved mechanistic models combined with separate effects experiments to decrease the number of required data sets to commission fuels for use. This talk will focus on UN and UC, two potential high-impact fuels for microreactors and advanced reactors of interest to industry collaborators. The developed ML models will be integrated with multiphysics engineering-scale neutronics and reactor simulations ultimately define safety margins for novel nuclear fuels within specific reactor conditions. The results will be discussed relative to defining safety limits of novel microreactor design. |
Proceedings Inclusion? |
Planned: |
Keywords |
Machine Learning, Nuclear Materials, Characterization |