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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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
November 2025
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Latest News
NEA report calls for more accurate data on SNF heat decay
The OECD Nuclear Energy Agency has issued a report calling for more-detailed information on tracking the decay heat of spent nuclear fuel from light water reactors. According to the NEA, the report highlights the increasing importance of accurate decay heat estimations due to evolving fuel characteristics, including higher initial fuel enrichment, increased burn-up rates, and extended reactor cycle lengths.
The report, Summary of the NEA Assessment on Spent Nuclear Fuel Decay Heat for Light Water Reactors, summarizes the findings of a subgroup of the NEA’s Working Party on Nuclear Criticality Safety (WPNCS), which ran from January 2022 to January 2024.
Technical Session|Sponsored by HFICD
Monday, November 13, 2023|1:00–2:45PM EST|Georgetown West
Session Chair:
Stylianos Chatzidakis
Alternate Chair:
Syed Bahauddin Alam (Univ. Illinois, Urbana-Champaign)
Session Organizer:
Vivek Agarwal
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Efficient Compression of Reactor Vessel Monitoring Sensor Data Using Machine Learning
1:00–1:20PM EST
Styliani Pantopoulou (Purdue), Anthonie Cilliers (Kairos Power), Lefteri Tsoukalas (Purdue), Alexander Heifetz (ANL)
Paper
Partial Nuclear Fuel Melt Predictions Using LSTM as Surrogate Model
1:20–1:40PM EST
James Daniell (Missouri Univ. Science and Technology), Kazuma Kobayashi (Univ. Illinois, Urbana-Champaign), Syed Alam (Univ. Illinois, Urbana-Champaign)
Predicting Plenum Pressure Using Operational Parameters in Nuclear Fuels
1:40–2:00PM EST
Multivariate Time Series Classification Using Convolutional Neural Networks for Real-Time Anomaly Detection in Nuclear Reactors
2:00–2:20PM EST
Konstantinos Vasili (Purdue), Zachery Thomas Dahm (Purdue), Konstantinos Gkouliaras (Purdue), Vasileios Theos (Purdue), William Richards (Purdue), Stylianos Chatzidakis (Purdue)
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