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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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Nuclear Science and Engineering
December 2025
Nuclear Technology
Fusion Science and Technology
November 2025
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Industry Update—December 2025
Here is a recap of recent industry happenings:
Agreement signed on advanced nuclear technology in space
Texas-based space technology and orbital logistics developer Space Ocean Corporation and New Mexico–based space nuclear power systems developer Space Nuclear Power Corporation (SpaceNukes) have signed a letter of intent to explore the integration of advanced nuclear reactor technology into future space missions. Space Ocean agreed to test SpaceNukes’ 10-kilowatt microreactor aboard its ALV-N satellite and, if performance criteria are met, to use SpaceNukes as a core supplier of reactors for future Space Ocean lunar and planetary missions. The companies also agreed to examine the integration of fluid delivery systems with reactor modules, to collect operational data to support technology readiness certification, and to form a joint working group to pursue additional space infrastructure and commercial opportunities.
Advances in Thermal Hydraulics (ATH 2024)
Technical Session
Tuesday, November 19, 2024|8:00–9:45AM EST|Coral C
Session Chair:
Subash Sharma (UML)
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AI-Enabled Fuel Temperature Prediction with Digital Visualization Using Heat Pipes in Microreactor Monolith Cores
8:00–8:20AM EST
Ik Jae Jin (Ulsan Nat'l Institute Science and Technology), In Cheol Bang (Ulsan Nat'l Institute Science and Technology)
Paper
Data Efficiency Assessment of Generative Adversarial Networks for Critical Heat Flux Synthetic Data Generation
8:20–8:40AM EST
Umme Mahbuba Nabila (Univ. Michigan), Linyu Lin (INL), Majdi I. Radaideh (Univ. Michigan)
Probabilistic Bayesian Neural Network (PBNN) for CHF Prediction with Uncertainty in a Uniformly Heated Vertical Tube Using CHF NRC Database
8:40–9:00AM EST
Anadi Mondal (Univ. Massachusetts, Lowell), Subash L. Sharma (Univ. Massachusetts, Lowell)
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