Papers

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Prediction of Startup Excess Reactivity in TRIGA MK II Reactor: A Neural Network Approach

10:00–10:20AM CDT

Jeongwon Seo (University of Texas at Austin), William S. Charlton (University of Texas-Austin), Kevin T. Clarno (University of Texas at Austin)

PINN-Based Online Monitoring for Detection of Sensor Drift

10:20–10:40AM CDT

Jiyong Lee (KAIST), Jonghyun Kim (KAIST - 291 Daehak-ro, Yuseong-gu)

Intelligent Prediction and Uncertainty Quantification of Power Excursions Following Reactivity Insertions in Molten Salt Reactors

10:40–11:00AM CDT

Hui-Yu Hsieh (Texas A&M University), Thabit M. Abuqudaira (Texas A&M University), Pavel V. Tsvetkov (Texas A&M University), Piyush Sabharwall (Idaho National Laboratory)

Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks

11:00–11:20AM CDT

Aidan J. Furlong (North Carolina State University), Xingang Zhao (University of Tennessee Knoxville), Robert K. Salko (Oak Ridge National Laboratory), Xu Wu (North Carolina State University)

Epistemic Uncertainty in Deep Learning Models and Its Application for Model Performance Improvement

11:20–11:40AM CDT

Junyong Bae (Ulsan National Institute of Science & Technology), Seung Jun Lee (Ulsan National Institute of Science and Technology)


Discussion

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