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Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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!
Latest Magazine Issues
May 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
NRC dockets construction permit for Dow, X-energy SMR
The Nuclear Regulatory Commission has accepted Dow’s construction permit application to build an X-energy small modular reactor in Seadrift, Texas.
Technical Session|Sponsored by MCD
Tuesday, June 17, 2025|10:00–11:45AM CDT|Armitage
Session Chair:
Koroush Shirvan
Session Organizer:
Alternate Chair:
Sebastian Schunert
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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 Power Excursions Following Reactivity Insertions 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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