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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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May 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Deep Isolation validates its disposal canister for TRISO spent fuel
Nuclear waste disposal technology company Deep Isolation announced it has successfully completed Project PUCK, a government-funded initiative to demonstrate the feasibility and potential commercial readiness of its Universal Canister System (UCS) to manage TRISO spent nuclear fuel.
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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