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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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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Nuclear Science and Engineering
November 2025
Nuclear Technology
October 2025
Fusion Science and Technology
Latest News
NEA report calls for more accurate data on SNF heat decay
The OECD Nuclear Energy Agency has issued a report calling for more-detailed information on tracking the decay heat of spent nuclear fuel from light water reactors. According to the NEA, the report highlights the increasing importance of accurate decay heat estimations due to evolving fuel characteristics, including higher initial fuel enrichment, increased burn-up rates, and extended reactor cycle lengths.
The report, Summary of the NEA Assessment on Spent Nuclear Fuel Decay Heat for Light Water Reactors, summarizes the findings of a subgroup of the NEA’s Working Party on Nuclear Criticality Safety (WPNCS), which ran from January 2022 to January 2024.
Technical Session|Panel|Sponsored by HFICD
Tuesday, November 14, 2023|3:15–5:00PM EST|Georgetown West
Session Chair:
Syed Bahauddin Alam (Univ. Illinois, Urbana-Champaign)
Session Organizer:
Vivek Agarwal (Idaho National Lab)
The continued safe and efficient operation of nuclear power plants (NPPs) is crucial for meeting the energy demands of a growing population while simultaneously reducing greenhouse gas emissions. As nuclear plants age, the management and modernization of critical assets become increasingly complex and vital. This complexity underscores the pressing need for innovative technologies that can address the unique challenges of nuclear plant asset management. Aligned with the DOE's mission to ensure America's security and prosperity by addressing its energy, environmental, and nuclear challenges, this panel aims to explore the integration of Artificial Intelligence (AI) and machine learning (ML)-driven Digital Twin (DT) into Nuclear Plant Asset Management & Modernization. The focus will be on both technological advancements and the economic implications of these innovations while considering the aspects below: 1. Predictive Maintenance & Degradation Monitoring 2. Integration of Heterogeneous Data Sources and interpretability 3. Economic Optimization: Return on Investment 4. Compliance and Regulatory Considerations 5. Collaborative Strategies with DOE This panel aims to bridge the gap between technological innovation and practical implementation, offering a comprehensive view of how AI/ML/DT can revolutionize nuclear plant asset management. By fostering dialogue between industry experts, policymakers, researchers, and other stakeholders, we hope to set the stage for a new era of efficiency, safety, and economic viability in nuclear plant management.
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