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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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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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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.
Shih-Kuei Cheng
Nuclear Technology | Volume 84 | Number 3 | March 1989 | Pages 305-314
Technical Paper | Probabilistic Safety Assessment and Risk Management / Nuclear Safety | doi.org/10.13182/NT89-A34214
Articles are hosted by Taylor and Francis Online.
A model for the potential reactor coolant pump seal loss-of-coolant accident in a Westinghouse Electric Corporation pressurized water reactor following a loss of component cooling water (CCW) is developed based on state-of-the-art knowledge. The potential operator recovery actions in coping with a loss-of-CCW event are investigated, and an event tree is constructed to describe the possible core melt sequences. The sequence frequencies are plant specific; however, evaluations (of the sequence frequencies) demonstrate that an emergency operating procedure that clearly identifies possible recovery actions can reduce the core melt probability by two orders of magnitude.