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Division Spotlight
Operations & Power
Members focus on the dissemination of knowledge and information in the area of power reactors with particular application to the production of electric power and process heat. The division sponsors meetings on the coverage of applied nuclear science and engineering as related to power plants, non-power reactors, and other nuclear facilities. It encourages and assists with the dissemination of knowledge pertinent to the safe and efficient operation of nuclear facilities through professional staff development, information exchange, and supporting the generation of viable solutions to current issues.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver 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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Apr 2025
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Nuclear Science and Engineering
May 2025
Nuclear Technology
Fusion Science and Technology
Latest News
DOE report: Cost to finish cleaning up Hanford site could exceed $589 billion
The cost to complete the cleanup of the Department of Energy’s Hanford Site in Washington state could cost as much as $589.4 billion, according to the 2025 Hanford Lifecycle Scope, Schedule, and Cost Report, which was released by the DOE on April 15. While that estimate is $44.2 billion lower than the DOE’s 2022 estimate of $640.6 billion, a separate, low-end estimate has since grown by more than 21 percent, to $364 billion.
The life cycle report, which the DOE is legally required to issue every three years under agreement with the U.S. Environmental Protection Agency and Washington State Department of Ecology (Ecology), summarizes the remaining work scope, schedule, and cost estimates for the nuclear site. For more than 40 years, Hanford’s reactors produced plutonium for America’s defense program.
Nuclear Plant Instrumentation and Control & Human-Machine Interface Technology (NPIC&HMIT 2025)
Technical Session
Tuesday, June 17, 2025|1:00–2:45PM CDT|Chicago Ballroom E
Session Chair:
Nancy J. Lybeck
Alternate Chair:
Yunfei Zhao
Session Organizer:
Hyun Gook Kang
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Metric Learning-based Abnormal Event Diagnosis for Applicability in Nuclear Power Plants
1:00–1:15PM CDT
Seung Gyu Cho (Ulsan National Institute of Science and Technology), Seung Jun Lee (Ulsan National Institute of Science and Technology)
Paper
Prediction of Major Variables in Emergency and Severe Accidents Using Dilated TCN with Uncertainty Quantification
1:15–1:30PM CDT
Min Seon Kim (Chosun University), Ji H. Park (Chosun University), Man Gyun Na (Chosun University)
Employing a Hardware-in-the-Loop Approach to Realize a Fully Homomorphic Encrypted Controller for a Small Modular Advanced High Temperature Reactor
1:30–1:45PM CDT
Robert S. Lois (University of Pittsburgh), Dane Sabo (University of Pittsburgh), Patrick Murphy (University of Pittsburgh), Luis F. Benitez (University of Pittsburgh), Daniel G. Cole (University of Pittsburgh)
A MEMS-Based Nitrogen Sensor for Early Detection of Spent Nuclear Fuel Canister Failures
1:45–2:00PM CDT
Haythem Draoui (Loughborough University), Zhengliang Fang (Loughborough University), Stephanos Theodossiades (Loughborough University), Antonio D. Buono (National Nuclear Laboratory), Amal Z. Hajjaj (Loughborough University)
Taxonomies of Levels of Automation for Nuclear Power Plants Based on Operational Conditions
2:00–2:15PM CDT
HUIJEONG KIM (Korea Advanced Institute of Science and Technology), JONGHYUN KIM (Korea Advanced Institute of Science and Technology)
Digital Twin Architecture for Supporting Incident Response in Critical Instrumentation and Control Systems
2:15–2:30PM CDT
David Allison (AIT Austrian Institute of Technology GmbH), Paul Smith (Lancaster University), Kieran McLaughlin (Queen's University Belfast)
Leveraging Machine Learning Techniques for Health Monitoring of Nuclear Systems: A Case Study Using Real Plant Data from Surry Power Station
2:30–2:45PM CDT
Ahmed Mohamed (Dominion Energy), Ibrahim Tansel (Florida International University), Sabri Tosunoglu (Florida International University)
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