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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
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
Japanese researchers test detection devices at West Valley
Two research scientists from Japan’s Kyoto University and Kochi University of Technology visited the West Valley Demonstration Project in western New York state earlier this fall to test their novel radiation detectors, the Department of Energy’s Office of Environmental Management announced on November 19.
Technical Session|Power Reactor Operations, Safety, and Reliability
Friday, April 5, 2024|10:15–11:35AM EDT|Leonhard Building Room 103
Session Chair:
Jacob Maxeiner (Penn State University)
Session Organizer:
Jonathan B. Balog (Penn State University)
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Detection of Axial Locations of Control Rods Using Movable In-core Detectors
10:15–10:35AM EDT
Daniele Timpano (ETH Zürich), Edwin Kolbe (Axpo Power AG), Benoit Soubelet (Axpo Power AG)
Paper
Enhancing Probabilistic Risk Assessment for the PULSTAR Research Reactor with Advanced Fault Tree and Initiating Event Analysis Techniques
10:35–10:55AM EDT
Lauren A. Kohler (NCSU), Noah A. Etter (NCSU), Nolan Ritchie (NCSU), Mihai A. Diaconeasa (NCSU)
Prediction of Burning Cable Properties Using Machine Learning
10:55–11:15AM EDT
Peter Henkes (Univ. Wisconsin, Madison), Elvan Sahin (Univ. Wisconsin, Madison), Mohammad A. Allaf (Univ. Wisconsin, Madison), Juliana P. Duarte (Univ. Wisconsin, Madison)
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