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
March 2026
Nuclear Technology
February 2026
Fusion Science and Technology
January 2026
Latest News
Quality is key: Investing in advanced nuclear research for tomorrow’s grid
As the energy sector faces mounting pressure to grow at an unprecedented pace while maintaining reliability and affordability, nuclear technology remains an essential component of the long-term solution. Southern Company stands out among U.S. utilities for its proactive role in shaping these next-generation systems—not just as a future customer, but as a hands-on innovator.
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)
To join the conversation, you must be logged in and registered for the meeting.