3 papers
cs.LG2026
Inverse Critical Experiment Design via Gradient Optimization and a Multigroup Attention-Based Neural Network Architecture
Will Savage, Logan Burnett, Dean Price
The validation of advanced nuclear reactor designs and fuel concepts requires critical experiments with high neutronic similarity to the target technology. Neutronic similarity is…
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…