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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
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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.
Technical Session|Sponsored by MCD
Wednesday, November 20, 2024|1:00–2:45PM EST|Biscayne 3
Session Chair:
Dean Wang
Alternate Chair:
Sebastian Schunert
Session Organizer:
Koroush Shirvan (MIT)
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Preliminary Steady-State Thermal Hydraulics Analysis of Mixed HEU-LEU Transition Cores for the MIT Research Reactor with Statistical Uncertainty Propagation Using STAT7 Code
1:00–1:20PM EST
Sero Yang (ANL), Tyler Sumner (ANL), Alberto Talamo (ANL), Kyle Anderson (ANL), David Jaluvka (ANL), John Stillman (ANL), Dhongik Yoon (ANL), Walid Mohamed (ANL), Lin-wen Hu (MIT), Erik Wilson (ANL)
Paper
Interpretable Machine Learning Approaches for Predicting Critical Heat Flux
1:20–1:40PM EST
Elvan Sahin (Virginia Tech), Juliana P. Duarte (Univ. Wisconsin, Madison)
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