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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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
September 2025
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August 2025
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Latest News
Inkjet droplets of radioactive material enable quick, precise testing at NIST
Researchers at the National Institute of Standards and Technology have developed a technique called cryogenic decay energy spectrometry capable of detecting single radioactive decay events from tiny material samples and simultaneously identifying the atoms involved. In time, the technology could replace characterization tasks that have taken months and could support rapid, accurate radiopharmaceutical development and used nuclear fuel recycling, according to an article published on July 8 by NIST.
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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