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Division Spotlight
Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
Meeting Spotlight
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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!
Latest Magazine Issues
Nov 2024
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
Latest News
NorthStar, MARS to vie for USS Enterprise dismantlement contract
NorthStar Group Services announced it will work with Modern American Recycling Services (MARS) to pursue work dismantling and disposing of decommissioned U.S. Navy nuclear aircraft carriers at the Port of Mobile, Ala. The work is to be performed by NorthStar subsidiary NorthStar Maritime Dismantlement Services and MARS subsidiary Modern American Recycling and Radiological Services.
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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