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
Mar 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
April 2026
Nuclear Technology
February 2026
Fusion Science and Technology
Latest News
NRC adopts ROP updates
The Nuclear Regulatory Commission has approved a significant overhaul of its Reactor Oversight Process (ROP) baseline inspection program that stresses a leaner, more risk-focused inspection process.
This adoption comes just over a month after NRC officials published their findings on the proposed ROP changes. The changes would reduce the number of hours spent annually on direct inspections at U.S. nuclear power plants by 38 percent.
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.