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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nuclear Science and Engineering
September 2025
Nuclear Technology
August 2025
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Latest News
Deep geologic repository progress—2025 Update
Editor's note: This article has was originally published in November 2023. It has been updated with new information as of June 2025.
Outside my office, there is a display case filled with rock samples from all over the world. It contains a disk of translucent, orange salt from the Waste Isolation Pilot Plant near Carlsbad, N.M.; a core of white-and-bronze gneiss from the site of the future deep geologic repository in Eurajoki, Finland; several angular chunks of fine-grained, gray claystone from the underground research laboratory at Bure, France; and a piece of coarse-grained granite from the underground research tunnel in Daejeon, South Korea.
Technical Session|Sponsored by MCD
Tuesday, June 17, 2025|10:00–11:45AM CDT|Armitage
Session Chair:
Xu Wu
Alternate Chair:
Sebastian Schunert
Session Organizer:
Koroush Shirvan
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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 (Univ. Texas, Austin), William S. Charlton (Univ. Texas, Austin), Kevin T. Clarno (Univ. Texas, Austin)
Paper
PINN-Based Online Monitoring for Detection of Sensor Drift
10:20–10:40AM CDT
Jiyong Lee (KAIST), Jonghyun Kim (KAIST)
Intelligent Prediction and Uncertainty Quantification of Reactivity-Induced Power Excursions in Molten Salt Reactors
10:40–11:00AM CDT
Hui-Yu Hsieh (TAMU), Thabit M. Abuqudaira (TAMU), Pavel V. Tsvetkov (TAMU), Piyush Sabharwall (INL)
Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks
11:00–11:20AM CDT
Aidan J. Furlong (NCSU), Xingang Zhao (Univ. Tennessee, Knoxville), Robert K. Salko (ORNL), Xu Wu (NCSU)
Epistemic Uncertainty in Deep Learning Models and Its Application for Model Performance Improvement
11:20–11:40AM CDT
Junyong Bae (Ulsan Nat'l Institute Science and Technology), Seung Jun Lee (Ulsan Nat'l Institute Science and Technology)
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