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Conference Spotlight
2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Dec 2025
Jul 2025
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Nuclear Science and Engineering
January 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
Latest News
The legacy of Windscale Pile No. 1
The core of Pile No. 1 at Windscale caught fire in the fall of 1957. The incident, rated a level 5, “Accident with Wider Consequences,” by the International Nuclear and Radiological Event Scale (INES), has since inspired nuclear safety culture, risk assessment, accident modeling, and emergency preparedness. Windscale also helped show how important communication and transparency are to gaining trust and public support.
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:
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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)
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