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Division Spotlight
Isotopes & Radiation
Members are devoted to applying nuclear science and engineering technologies involving isotopes, radiation applications, and associated equipment in scientific research, development, and industrial processes. Their interests lie primarily in education, industrial uses, biology, medicine, and health physics. Division committees include Analytical Applications of Isotopes and Radiation, Biology and Medicine, Radiation Applications, Radiation Sources and Detection, and Thermal Power Sources.
Meeting Spotlight
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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
Feb 2025
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
March 2025
Nuclear Technology
Fusion Science and Technology
February 2025
Latest News
Colin Judge: Testing structural materials in Idaho’s newest hot cell facility
Idaho National Laboratory’s newest facility—the Sample Preparation Laboratory (SPL)—sits across the road from the Hot Fuel Examination Facility (HFEF), which started operating in 1975. SPL will host the first new hot cells at INL’s Materials and Fuels Complex (MFC) in 50 years, giving INL researchers and partners new flexibility to test the structural properties of irradiated materials fresh from the Advanced Test Reactor (ATR) or from a partner’s facility.
Materials meant to withstand extreme conditions in fission or fusion power plants must be tested under similar conditions and pushed past their breaking points so performance and limitations can be understood and improved. Once irradiated, materials samples can be cut down to size in SPL and packaged for testing in other facilities at INL or other national laboratories, commercial labs, or universities. But they can also be subjected to extreme thermal or corrosive conditions and mechanical testing right in SPL, explains Colin Judge, who, as INL’s division director for nuclear materials performance, oversees SPL and other facilities at the MFC.
SPL won’t go “hot” until January 2026, but Judge spoke with NN staff writer Susan Gallier about its capabilities as his team was moving instruments into the new facility.
Technical Session|Lightning Talks
Tuesday, October 8, 2024|1:00–2:45PM MDT|Room 5
Session Chair:
Dawn M. Scates (INL)
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Considerations for Introducing Artificial Intelligence into Nuclear Power Plants
1:00–1:07PM MDT
Anna Hall (INL), Vivek Agarwal (INL)
Presented by Cody Walker (INL)
Paper
AI/ML Lock and Key: A Methodology to Verify Unaltered AI/ML Algorithms
1:07–1:14PM MDT
Shaw X. Wen (INL)
A Method for Software Failure Mode Quantification Under Limited Data Conditions
1:14–1:21PM MDT
Tate Shorthill (INL), Han Bao (INL), Edward Chen (INL), Heng Ban (Univ. Pittsburgh)
A Review of Mobile Robot Technology for Security Applications at Nuclear Facilities
1:21–1:28PM MDT
Ujwal Sharma (Idaho State), Uma Shankar Medasetti (Idaho State), Taher Deemyad (Idaho State), Mustafa Mashal (Idaho State), Vaibhav Yadav (INL)
Presented by Robby Christian (INL)
Autonomous 3D Radiation Mapping on Robots for Efficient Monitoring of Next Generation Reactors
1:28–1:35PM MDT
Andy Haefner (Gamma Reality), Erika Suzuki (Gamma Reality), R. Pavlovsky (Gamma Reality), P. Proctor (Gamma Reality), L. Peterson (Gamma Reality), S. DuBridge (Gamma Reality), J. Oshiro (Gamma Reality)
Exploring the Efficacy of LLMs in Decision-Making for a Specific Use Case in Nuclear Power Plants
1:35–1:42PM MDT
Norman John Mapes Jr. (INL), Brian Wilcken (INL), Kellen Giraud (INL), Ahmad Al Rashdan (INL)
Creating Physics-Informed Synthetic Data to Train a Digital Twin for Predicting Reactor Operations
1:42–1:49PM MDT
Jaden Palmer (INL), Ryan Stewart (INL), Ashley Shields (INL), Christopher Ritter (INL)
Development of Machine Learning-Based Electrochemical Monitoring for Molten Chloride Salt Reactors
1:49–1:56PM MDT
Wonseok Yang (Seoul Nat'l Univ.), Hyeongbin Kim (Seoul Nat'l Univ.), Jihun Kim (Seoul Nat'l Univ.), Saehyun Choi (Seoul Nat'l Univ.), Sungyeol Choi (Seoul Nat'l Univ.)
Machine Learning Approach to Improve the Resolution Limitations of Aerosol Measuring Equipment
1:56–2:03PM MDT
Hyunjin Boo (Soonchunhyang Univ.), Min-Ho Lee (FNC Technology Co.), Byung Gi Park (Soonchunhyang Univ.)
Source Term Modeling for Advanced Gas Micro-Reactors
2:03–2:10PM MDT
Alexandra Raichart (INL), Benjamin Stoyer (INL), David Petti (INL)
Material and Ground Activation from Minimally Shielded Transportable Reactor
2:10–2:17PM MDT
R. Demuth (Univ. South Carolina), A. Horwood (Univ. South Carolina), S. Bays (INL), M. Phipps (Univ. South Carolina), T. Knight (Univ. South Carolina)
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