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
Jul 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
August 2026
Nuclear Technology
July 2026
Fusion Science and Technology
Latest News
The deadline arrives: Checking in on the Reactor Pilot Program
On May 23, 2025, President Trump signed Executive Order 14301, “Reforming Nuclear Reactor Testing at the DOE,” which instructed the Department of Energy to create a Reactor Pilot Program (RPP)—a new system in which companies could pursue DOE authorization to build and test their first-of-a-kind nuclear technologies. EO 14301 set an ambitious goal for that program: three reactors achieving criticality by July 4, 2026.
18th International Probabilistic Safety Assessment and Analysis (PSA 2023)
Technical Session|Modeling, Analysis, and Methods (Advanced Methods and Tools)|Cosponsored by NPIC&HMIT
Wednesday, July 19, 2023|3:15–5:00PM EDT|300C
Session Chair:
Xingang Zhao
Alternate Chair:
Askin Guler Yigitoglu
Session Organizer:
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
Comparing Radiation Survey Gaussian Process Regression Methods for Reactor Room Radiation Reconstruction
3:15–3:40PM EDT
Jeremy Marquardt (Purdue), Adam Hermann (Purdue), Leonard Lucas (Knolls Atomic Power Laboratory), Stylianos Chatzidakis (Purdue)
Paper
Active Learning with Deep Neural Network Ensembles for Heat Pipe Microreactor Modeling in Abnormal Operation
3:40–4:05PM EDT
Dean Price (Univ. Michigan), Majdi I. Radaideh (Univ. Michigan), Brendan Kochunas (Univ. Michigan)
Quantum Computing for Probabilistic Safety Assessment: A Perspective
4:05–4:30PM EDT
M. Hibti (EDF), A. Zaiou (EDF), Y. Bennani (Laboratoire D’informatique de Paris Nord), B. Matei (Laboratoire D’informatique de Paris Nord)
Model Calibration and Uncertainty Analyses in Multiscale Modeling Using Machine Learning Approaches
4:30–4:55PM EDT
Richa Verma (IIT Delhi), Dinesh Kumar (Missouri Univ. Science and Technology), Kazuma Kobayashi (Missouri Univ. Science and Technology), Anant Raj (Purdue), Syed Bahauddin Alam (Missouri Univ. Science and Technology)
