NEUP CINRII-24-31390: Prediction, scale-up, and optimization of used nuclear fuel processes using hydroxypyridinone-based hold-back reagents for actinide and fission product recovery
Our studies have shown the applicability of hydroxypyridinone ligand architectures to drive the efficient separation of target elements and operate under the extreme conditions of a multi-component radiation field. This project seeks to optimize and scale-up this new approach, combined with multi-scale modeling for the prediction of radiolytic ligand longevity and degradation product formation over time, so as to augment at-scale engineering models in support of future process implementation.
Additional Info
| Field | Value |
|---|---|
| Awarded Institution | University of California, Berkeley |
| PI | Rebecca Abergel |