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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
Mike Kramer: Navigating power deals in the new data economy
Mike Kramer has a background in finance, not engineering, but a combined 20 years at Exelon and Constellation and a key role in the deals that have Meta and Microsoft buying power from Constellation’s Clinton and Crane sites have made him something of a nuclear expert.
Kramer spoke with Nuclear News staff writer Susan Gallier in late August, just after a visit to Clinton in central Illinois to celebrate a power purchase agreement (PPA) with Meta that closed in June. As Constellation’s vice president for data economy strategy, Kramer was part of the deal-making—not just the celebration.
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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