Monte Carlo Dropout Uncertainty Quantification of Long Short-Term Memory Autoencoder Anomaly Detection in a Liquid Sodium Cold Trap

Advanced high-temperature fluid reactors, such as sodium-cooled fast reactors (SFRs) and molten salt-cooled reactors (MSCRs), require coolant purification systems to prevent fluid contamination and local freezing that can lead to plugging. Liquid sodium purification can be achieved with a cold trap,...

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Vydané v:	Nuclear technology Ročník 211; číslo 12; s. 3004 - 3017
Hlavní autori:	Akins, Alexandra, Kultgen, Derek, Wu, Xu, Heifetz, Alexander
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Taylor & Francis 02.12.2025
Predmet:	anomaly detection long short-term memory autoencoder machine learning sodium fast reactor Uncertainty quantification
ISSN:	0029-5450, 1943-7471
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