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Conference Spotlight
2025 ANS Winter Conference & Expo
November 8–12, 2025
Washington, DC|Washington Hilton
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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Nov 2025
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Nuclear Science and Engineering
December 2025
Nuclear Technology
November 2025
Fusion Science and Technology
Latest News
Nuclear News 40 Under 40—2025
Last year, we proudly launched the inaugural Nuclear News 40 Under 40 list to shine a spotlight on the exceptional young professionals driving the nuclear sector forward as the nuclear community faces a dramatic generational shift. We weren’t sure how a second list would go over, but once again, our members resoundingly answered the call, confirming what we already knew: The nuclear community is bursting with vision, talent, and extraordinary dedication.
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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