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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 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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Nuclear Science and Engineering
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September 2025
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Latest News
PR: American Nuclear Society welcomes Senate confirmation of Ted Garrish as the DOE’s nuclear energy secretary
Washington, D.C. — The American Nuclear Society (ANS) applauds the U.S. Senate's confirmation of Theodore “Ted” Garrish as Assistant Secretary for Nuclear Energy at the U.S. Department of Energy (DOE).
“On behalf of over 11,000 professionals in the fields of nuclear science and technology, the American Nuclear Society congratulates Mr. Garrish on being confirmed by the Senate to once again lead the DOE Office of Nuclear Energy,” said ANS President H.M. "Hash" Hashemian.
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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