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Division Spotlight
Reactor Physics
The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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 2024
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Nuclear Science and Engineering
June 2024
Nuclear Technology
Fusion Science and Technology
Latest News
NEI's Korsnick delivers State of the Nuclear Energy Industry address
Nuclear Energy Institute president and CEO Maria Korsnick delivered her State of the Nuclear Energy Industry address at NEI’s 2024 Nuclear Energy Policy Forum yesterday. The forum this year is taking place May 14–16 in Washington, D.C., and serves to gather industry leaders, executives, and experts for pivotal conversations about the federal and state nuclear policy landscapes.
Korsnick updated attendees on policy priorities of the industry and gave her perspective on nuclear energy’s present and future.
Technical Session|Panel|Sponsored by HFICD
Wednesday, June 19, 2024|10:00–11:45AM PDT|Jasmine H
Session Chair:
Syed Bahauddin Alam
Alternate Chair:
Jamie B. Coble
Session Organizer:
Vivek Agarwal
In alignment with the Department of Energy (DOE)'s mission to bolster America's security by addressing its energy, environmental, and nuclear challenges, this panel will delve into the potential of leveraging a Digital Twin (DT) approach powered by Artificial Intelligence (AI) and Machine Learning (ML), in Nuclear Plant Asset Management & Modernization. Specifically, this panel will shed light on both the technological promise and economic implications of prognostic and health management from Digital Twin approaches, with an emphasis on: (1) Predictive Maintenance & Degradation Monitoring: Harnessing Digital Twins to foresee maintenance needs and track asset degradation in real-time. (2) Data Integration & Interpretability: Consolidating heterogeneous data sources into coherent Digital Twin models while ensuring model transparency. (3) Economic Optimization: Evaluating the return on investment and risk reduction potential of Digital Twin adoption. (4) Compliance Considerations: Ensuring regulatory alignment as Digital Twin capabilities progress. (5) Strategic Collaboration: Working closely with the DOE to maximize Digital Twins' impact through co-creation and knowledge sharing. Overall, this panel aims to bridge innovation and implementation, offering a comprehensive perspective on how Digital Twins, integrated with plant data infrastructure, can transform nuclear plant asset management with prognostic and health management. By convening experts across industry, government, and academia, we hope to chart a path toward increased efficiency, safety, and cost-effectiveness in maintaining these vital clean energy assets over their lifetime.
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