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Conference Spotlight
2026 ANS 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!
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Nuclear Science and Engineering
January 2026
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December 2025
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November 2025
Latest News
AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Technical Session|Sponsored by HFICD
Monday, June 13, 2022|3:15–5:00PM PDT|El Capitan B
Session Chair:
Vivek Agarwal (INL)
Alternate Chair:
Fan Zhang
Session Organizer:
Jamie B. Coble (University of Tennessee-Knoxville)
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Root Cause Analysis for Condition Monitoring Using Bayesian Networks
Abhimanyu Kapuria (Univ. Pittsburgh), Ryan M. Spangler (Univ. Pittsburgh), Robert S. Lois (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)
Paper
Digital Twin Reliability Diagnostics for SC-HTGR Using Metroscope
Sean Kolesar (Framatome), Todd Matthews (Framatome), Pascal Brocheny (Framatome)
Toward Health Management of Active Components During Operational Transients in SMRs
Matthew Scott (Univ. Tennessee, Knoxville), Jamie Coble (Univ. Tennessee, Knoxville)
Operations and Maintenance Decision-Making with Dynamic Bayesian Networks and Monte Carlo Tree Search
Ryan M. Spangler (Univ. Pittsburgh), Abhimanyu Kapuria (Univ. Pittsburgh), Robert S. Lois (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)
Mitigating Risks for Nuclear Power Plant Supply Chains Using Particle Filters and Bayesian Networks
Robert S. Lois (Univ. Pittsburgh), Ryan M. Spangler (Univ. Pittsburgh), Abhimanyu Kapuria (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)
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