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
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
June 2026
Fusion Science and Technology
May 2026
Latest News
Ten EU countries call for nuclear to be marked ‘sustainable’
Ten of the 27 member countries of the European Union recently sent a letter to the European Commission calling for nuclear power to be labeled as sustainable in a new rulemaking that pertains to powering data centers and artificial intelligence.
While the EC’s decision could have significant impact on the future deployment of nuclear across the continent, this call to action also represents a broader positive reconsideration of nuclear power in Europe in recent years.
Technical Session|Human Factors, Instrumentation, and Controls (HFICD)
Tuesday, June 2, 2026|3:15–5:00PM MDT|Governor's Square 15
Session Chair:
Stylianos Chatzidakis (Purdue Univ.)
Alternate Chair:
Samrendra Roy
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
Unsupervised Detection of High-Z Anomalies in Cargo Containers Using Muon Scattering Data
3:15–3:35PM MDT
Reshma Ughade (Purdue Univ.), William Richards (Purdue Univ.), Stylianos Chatzidakis (Purdue Univ.)
Paper
Exploratory Data Analysis of Adverse Weather Event Discovery for Nuclear Safety
3:35–3:55PM MDT
Xiao-Ying Yu (ORNL)
Data-Centric Strategies for Enhancing Surrogate Reliability Under Input Uncertainty
3:55–4:15PM MDT
Samrendra Roy (Univ. Illinois, Urbana-Champaign), Kazuma Kobayashi (Univ. Illinois, Urbana-Champaign), Sajedul Talukder, Syed Bahauddin Alam
3-D Power Reconstruction in SMRs Using Neural Networks with Ex-core/In-core Temperature
4:15–4:35PM MDT
Minhyeok Bang, Junwoo Lee, Yonghee Kim (KAIST)
A Web-Based Visualization Platform for Nuclear Machine Learning Based Methods with Explainability Metrics
4:35–4:55PM MDT
Taazhykan Kurumshieva (Purdue Univ.)