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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Latest News
NN Asks: What does it take to build a domestic fuel salt supply chain?
Adam Burak
We need facilities capable of converting uranium and thorium feedstocks into salts, as well as a source of thorium, if we are to build a domestic fuel salt supply chain.
Our current supply chain provides a potential pathway to produce one type of fuel salt. The Molten Salt Reactor Experiment (MSRE) at Oak Ridge National Laboratory used uranium trifluoride/uranium tetrafluoride (UF3/4) as fuel in the late 1960s, and some current developers are following suit. Uranium hexafluoride (UF6) made as part of the enrichment process could be reduced to uranium fluoride salts with a +3 or +4 valence state. However, as oxygen and moisture are critical impurities for molten salt, a facility with the capability to properly handle molten salts would be necessary.
Advances in Thermal Hydraulics (ATH 2022)
Technical Session
Tuesday, June 14, 2022|10:15AM–12:00PM PDT|Redondo
Session Chair:
Nadish Saini
Alternate Chair:
Yue Jin
Session Organizer:
W. David Pointer
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Embedded Fiber Optic Smart Parts Towards Advanced Reactor Applications
Andrew J. Boulanger (Luna Innovation), S. Derek Rountree (Luna Innovation), Connor Donlan (Virginia Commonwealth Univ.), Arturo Cabral (Virginia Commonwealth Univ.), Lane B. Carasik (Virginia Commonwealth Univ.), Adam Hehr (Fabrisonic)
Paper
Deep Learning-Based System Diagnosis for Nuclear Power Plant Using Infrared Thermal Cameras
Ik Jae Jin (Ulsan Nat'l Institute of Science and Technology), Do Yeong Lim (Ulsan Nat'l Institute of Science and Technology), In Cheol Bang (Ulsan Nat'l Institute of Science and Technology)
Machine Learning-Based Prediction of Departure from Nucleate Boiling Power for the PSBT Benchmark
Chaitee Godbole (NCSU), Gregory Delipei (NCSU), Xu Wu (NCSU), Maria Avramova (NCSU), Upendra Rohatgi (Brookhaven)
Prediction of Minimum Film Boiling Temperature Using a Physics-Informed Machine Learning-Aided Framework
K.M. Kim (Virginia Tech), P. Hurley (Virginia Tech), J.P. Duarte (Virginia Tech)
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