The paper generates high-fidelity CFD datasets of PWR lower-plenum and core-inlet flow and evaluates ML models for assembly-level mass-flow reconstruction and short-term autoregressive prediction.
Boyd, Perspectives on CFD analysis in nuclear reactor regulation, Nuclear Engineering and Design 299 (2016) 12–17
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High-fidelity Modeling of Full-scale Pressurized Water Reactor Flow Fields for Machine Learning Applications
The paper generates high-fidelity CFD datasets of PWR lower-plenum and core-inlet flow and evaluates ML models for assembly-level mass-flow reconstruction and short-term autoregressive prediction.