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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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Latest News
DOE meeting focuses on Marshall Islands’ legacy activity
The Department of Energy Office of Environment, Health, Safety and Security (EHSS) held its annual meeting this month with the government of the Marshall Islands. The two-and-a-half-day meeting, in Honolulu, Hawaii, focused on ongoing cooperative efforts and programs related to the legacy of U.S. nuclear weapons testing from the 1940s and 1950s. The United States began cleanup operations on the islands in the 1970s.
Technical Session|Computational Methods, Artificial Intelligence, and Machine Learning
Saturday, April 6, 2024|1:35–2:55PM EDT|Engineering Services Building Room 122
Session Chair:
Luiz C. Aldeia Machado (Penn State University)
Alternate Chair:
Alexander S. Hauck (Penn State University)
Session Organizer:
Jonathan B. Balog (Penn State University)
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Machine Learning for Time-Series Prediction of the Cryogenic Moderator System in Oak Ridge National Laboratory's Spallation Neutron Source Facility
1:35–1:55PM EDT
Gavin McDuffee (Tennessee Technological Univ.), William Gurecky (Univ. Texas, Austin), Wesley C. Williams (ORNL), Xingang Zhao (ORNL)
Paper
ML-LIBS: Machine Learning-Based Spectra Predictions of Time-Dependent Lithium Emission Spectroscopy Imaging
1:55–2:15PM EDT
Lauren A. Kohler (NCSU), Jason P. Clifford (NCSU), Nursat Karim (NCSU), Sivanandan S. Harilal (PNNL), Elizabeth Kautz (NCSU), Xu Wu (NCSU)
Parameter Importances from Random Forest Machine Learning for Accident Tolerant Fuel Pool Boiling
2:15–2:35PM EDT
Eliot R. Ciuperca (Univ. Wisconsin, Madison), Juliana P. Duarte (Univ. Wisconsin, Madison), Bruno P. Serrao (Univ. Wisconsin, Madison)
A Preliminary Exploration into Using Mixture Density Networks to Compress Data in Monte Carlo Codes
2:35–2:55PM EDT
Eappen S. Nelluvelil (Univ. Colorado, Boulder), Anna Matsekh (LANL), Arvind Mohan (LANL), Mathew A. Cleveland (LANL), Alex Long (LANL)
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