ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
September 2026
Fusion Science and Technology
August 2026
Latest News
New lab at ORNL speeds up U-233 cleanup, Ac-225 delivery
A new analytical laboratory at Oak Ridge National Laboratory has been officially opened by the Department of Energy’s Oak Ridge Office of Environmental Management and its contractor Isotek Systems. The state-of-the-art lab, located in Building 2026, is being used to speed up the high-priority cleanup of ORNL’s uranium-233 inventory and accelerate the delivery of actinium-225 to facilities that use the radioisotope in research and for potential treatment of patients with cancer.
Technical Session|Sponsored by MCD
Wednesday, November 15, 2023|3:15–5:00PM EST|Jefferson East
Session Chair:
Yonghee Kim (KAIST)
Alternate Chair:
SuJong Yoon (INL)
Session Organizer:
Sebastian Schunert (INL)
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
Machine Learning-Based Prediction of Crud Buildup Locations in Pressurized Water Reactors
3:15–3:35PM EST
Aidan Furlong (NCSU), Farah Alsafadi (NCSU), Lauren Kohler (NCSU), Xu Wu (NCSU), Scott Palmtag (NCSU), Andrew Godfrey (ORNL), Stanley Hayes (Duke Power)
Paper
Nuclear Data Uncertainty Reduction Through Bayesian Assimilation for Advanced Reactor Safeguards Modeling
3:35–3:55PM EST
Andre Vidal Soares (Penn State), William Walters (Penn State)
BWR-ComodoNet: Correction Model for Diffusion Solver Based on Neural Networks
3:55–4:15PM EST
M.R. Oktavian (Purdue), J. Nistor (Blue Wave AI Labs), J.T. Gruenwald (Blue Wave AI Labs), Y. Xu (Purdue)
Presentation Slides (Visible to Attendees)
Time-Series Classification Using LSTM to Identify Anomalies in Nuclear Reactor Data
4:15–4:35PM EST
Zachery Dahm (Purdue), Konstantinos Vasili (Purdue), Konstantinos Gkouliaras (Purdue), Vasileos Theos (Purdue), William Richards (Purdue), Stylianos Chatzidakis (Purdue)