Emerging Topics in Artificial Intelligence and Machine Learning: I

Exploring Quantitative and Qualitative Machine Learning Methods for Predicting Neutron Flux Values from a Simulated Molten Salt Reactor

1:00–1:20PM PDT

Konstantinos Vasili (Purdue Univ.), Seda Yilmaz (Purdue Univ.), Matthew M. Niichel (Purdue Univ.), Jonah Lau (Purdue Univ.), Shripad Revankar (Purdue Univ.), Lefteri Tsoukalas (Purdue Univ.), Stylianos Chatzidakis (Purdue Univ.)

Preliminary Analysis of Passive Safety System Operation Through Temperature-Data-Based Machine Learning Modeling

1:20–1:40PM PDT

Hyoung Suk Yu (KAIST), Yong Hoon Jeong (KAIST)

Classification Modeling of Nuclear Power Plant Outage Severities

1:40–2:00PM PDT

Michael Castillo (Oregon State), Andrew Klein (Oregon State)

Integrating LLMs for Explainable Fault Diagnosis in Complex Systems

2:00–2:20PM PDT

Akshay J. Dave (ANL), Tat Nghia Nguyen (ANL), Richard B. Vilim (ANL)

Condition-Based Calibration of Pressure Transmitters Implemented at Vogtle Nuclear Station

2:20–2:30PM PDT

H.M. Hashemian (Analysis and Measurement Services Corp.), G.W. Morton (Analysis and Measurement Services Corp.), B.D. Shumaker (Analysis and Measurement Services Corp.)