About this Abstract |
| Meeting |
Materials in Nuclear Energy Systems (MiNES) 2025
|
| Symposium
|
Materials in Nuclear Energy Systems (MiNES) 2025
|
| Presentation Title |
Developing a Predictive Tool for Emulating Neutron Irradiation With Ion Beams in Structural Alloys |
| Author(s) |
Sophie Blondel, Dwaipayan Dasgupta, Michael Ashburn, Nicholas Gentry, Brian Wirth |
| On-Site Speaker (Planned) |
Sophie Blondel |
| Abstract Scope |
Understanding microstructural evolution under high-dose particle irradiation conditions is essential for accelerating the deployment of advanced nuclear reactors. Towards that goal, we are building a predictive tool, Xolotl, based on the cluster dynamics framework to determine the microstructure of core structural materials under ion as well as neutron irradiations. Xolotl is an open-source DOE high-performance computing code using spatially dependent advection-reaction-diffusion kinetic rate theory to model the time evolution of defects and microstructure in irradiated materials. To benchmark our model predictions we are using 800H as a model for fcc materials and T91 as a model for bcc alloy - with faulted and perfect loops, and cavities as microstructures of interest - under varying irradiation temperatures and dose levels for both ion and neutron irradiation. |
| Proceedings Inclusion? |
Undecided |