Anomaly Detection in Reactor Thermal-Hydraulics Data

Nuclear Science › AI Nuclear Reactor Design Research

Anomaly Detection in Reactor Thermal-Hydraulics Data

Interns will build machine learning models to identify abnormal patterns in reactor cooling system data, temperature distributions, and pressure profiles from simulation and operational datasets. They will focus on developing real-time monitoring algorithms for early detection of potential system degradation.

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