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Division Spotlight
Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
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
Jul 2024
Jan 2024
Latest Journal Issues
Nuclear Science and Engineering
August 2024
Nuclear Technology
Fusion Science and Technology
Latest News
ARPA-E announces $40 million to develop transmutation technologies for UNF
The Department of Energy’s Advanced Research Projects Agency–Energy (ARPA-E) announced $40 million in funding to develop cutting-edge technologies to enable the transmutation of used nuclear fuel into less-radioactive substances. According to ARPA-E, the new initiative addresses one of the agency’s core goals as outlined by Congress: to provide transformative solutions to improve the management, cleanup, and disposal of radioactive waste and spent nuclear fuel.
Panel and Technical Session|Computational Methods, Artificial Intelligence, and Machine Learning
Friday, April 14, 2023|10:15–11:35AM EDT|Student Union 362A
Session Chair:
Noah Walton (Univ. Tennessee, Knoxville)
Alternate Chair:
Rida Rahman (Univ. Tennessee, Knoxville)
Session Organizer:
Lance M. Drouet (Univ. Tennessee, Knoxville)
This session is sponsored by the ANS Mathematics & Computation Division.
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Anomaly Detection in a Cold Trap Liquid Sodium Purification System through Multisensory Data Fusion with Deep Learning Autoencoders
10:15–10:35AM EDT
Alexandra G. Akins (North Carolina State University, Argonne National Laboratory), Alexander Heifetz (ANL)
Paper
Machine Learning-Based Error Correction Model for Low-Fidelity BWR Colorset Simulation
10:35–10:55AM EDT
Muhammad R. Oktavian (Purdue), Jonathan M. Nistor (Blue Wave AI Labs), John T. Gruenwald (Blue Wave AI Labs), Yunlin Xu (Purdue)
Simulating Photoelectric Radiation Transport in Cylindrical Gas Filled Photoemission Driven Cavities
10:55–11:15AM EDT
Ravi Shastri (Missouri Univ. Science and Technology)
Can Advances in Artificial Intelligence Surpass Legacy Algorithms for PWR Core Optimization?
11:15–11:35AM EDT
Paul R. Seurin (MIT), Koroush Shirvan (MIT)
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