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
Latest Magazine Issues
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
Fusion Science and Technology
January 2026
Latest News
From uncertainty to vitality: The future of nuclear energy in Illinois
Nuclear is enjoying a bit of a resurgence. The momentum for reliable energy to support economic development around the country—specifically data centers and AI—remains strong, and strongly in favor of nuclear. And as feature coverage on the states in the January 2026 issue of Nuclear News made abundantly clear, many states now see nuclear as necessary to support rising electricity demand while maintaining a reliable grid and reaching decarbonization goals.
Technical Session|Special Topics
Wednesday, August 23, 2023|3:30–5:10PM EDT|Columbia 2
Session Chair:
Nikoleta Morelova (IAEA)
Alternate Chair:
Marilyn Delgado (BWXT)
Session Organizer:
Kurshad Muftuoglu
To access session resources, you must be logged in and registered for the meeting.
Register NowLog In
Presentation Video (Visible to Attendees) — Jun Yang
To access paper attachments, you must be logged in and registered for the meeting.
Flow Regime Classification Using Orientation-Independent Layered Spectral Clustering
3:30–3:50PM EDT
David Kang (Purdue), Drew Ryan (Purdue), Seungjin Kim (Purdue)
Paper
Preliminary Analysis of the Effects of Alumina Nanofluids on Critical Heat Flux Using Artificial Intelligence
3:50–4:10PM EDT
Bruno Pinheiro Serrao (Univ. Wisconsin, Madison), Juliana Pacheco Duarte (Univ. Wisconsin, Madison)
Application of Structure-Based Machine Learning Model on Thermal Striping Evaluation
4:10–4:30PM EDT
Yu-Jou Wang (MIT), Emilio Baglietto (MIT), Koroush Shirvan (MIT)
Reduced-Order Model of Flow Field in Nuclear Power System Based on POD and Deep Learning
4:30–4:50PM EDT
Jun Yang (Nuclear Power Institute of China), Yanping Huang (Nuclear Power Institute of China), Dianle Wang (Nuclear Power Institute of China), Ling Zhao (Nuclear Power Institute of China), Yong Li (Nuclear Power Institute of China)
To join the conversation, you must be logged in and registered for the meeting.