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 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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
Jan 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
January 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
Latest News
DOE signs two more OTAs in Reactor Pilot Program
This week, the Department of Energy has finalized two new other transaction agreements (OTAs) with participating companies in its Reactor Pilot Program, which aims to get one or two fast-tracked reactors on line by July 4 of this year. Those companies are Terrestrial Energy and Oklo.
Panel and Technical Session|Computational Methods, Artificial Intelligence, and Machine Learning
Friday, April 14, 2023|10:15–11:35AM EDT|Student Union 362A
Session Chair:
Noah Walton (Univ. Tennessee, Knoxville)
Alternate Chair:
Rida Rahman (Univ. Tennessee, Knoxville)
Session Organizer:
Lance M. Drouet (Univ. Tennessee, Knoxville)
This session is sponsored by the ANS Mathematics & Computation Division.
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
Anomaly Detection in a Cold Trap Liquid Sodium Purification System through Multisensory Data Fusion with Deep Learning Autoencoders
10:15–10:35AM EDT
Alexandra G. Akins (North Carolina State University, Argonne National Laboratory), Alexander Heifetz (ANL)
Paper
Machine Learning-Based Error Correction Model for Low-Fidelity BWR Colorset Simulation
10:35–10:55AM EDT
Muhammad R. Oktavian (Purdue), Jonathan M. Nistor (Blue Wave AI Labs), John T. Gruenwald (Blue Wave AI Labs), Yunlin Xu (Purdue)
Simulating Photoelectric Radiation Transport in Cylindrical Gas Filled Photoemission Driven Cavities
10:55–11:15AM EDT
Ravi Shastri (Missouri Univ. Science and Technology)
Can Advances in Artificial Intelligence Surpass Legacy Algorithms for PWR Core Optimization?
11:15–11:35AM EDT
Paul R. Seurin (MIT), Koroush Shirvan (MIT)
To join the conversation, you must be logged in and registered for the meeting.
