3 papers
cs.LG2026
Gradient-based optimization of nuclear criticality experiments using neural surrogate eigenvalue sensitivities
Will Savage, Logan Burnett, Dean Price
The validation of advanced nuclear reactor designs and fuel concepts will require the design of new critical experiments with high neutronic similarity to the target technology. Ne…
cs.LG2026
High-fidelity Modeling of Full-scale Pressurized Water Reactor Flow Fields for Machine Learning Applications
Logan A. Burnett, Hyungjun Kim, Hsien-Cheng Chou +5
This work presents a high-fidelity computational fluid dynamics (CFD) and data-driven modeling framework for assembly-level flow characterization in a four-loop pressurized water r…
cs.LG2025
Variational Digital Twins
Logan A. Burnett, Umme Mahbuba Nabila, Majdi I. Radaideh
While digital twins (DT) hold promise for providing real-time insights into complex energy assets, much of the current literature either does not offer a clear framework for inform…