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Conference Spotlight
2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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
Dec 2025
Jul 2025
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Nuclear Science and Engineering
January 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
Latest News
What’s the most difficult question you’ve been asked as a maintenance instructor?
Blye Widmar
"Where are the prints?!"
This was the final question in an onslaught of verbal feedback, comments, and critiques I received from my students back in 2019. I had two years of instructor experience and was teaching a class that had been meticulously rehearsed in preparation for an accreditation visit. I knew the training material well and transferred that knowledge effectively enough for all the students to pass the class. As we wrapped up, I asked the students how they felt about my first big system-level class, and they did not hold back.
“Why was the exam from memory when we don’t work from memory in the plant?” “Why didn’t we refer to the vendor documents?” “Why didn’t we practice more on the mock-up?” And so on.
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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