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2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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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.
G. Sdouz
Nuclear Science and Engineering | Volume 98 | Number 2 | February 1988 | Pages 162-168
Technical Paper | doi.org/10.13182/NSE88-A28496
Articles are hosted by Taylor and Francis Online.
To ensure an optimal application of fuel behavior codes, international standard problems (ISPs) are performed by the Nuclear Energy Agency of the Organization for Economic Cooperation and Development. Calculations performed with complex fuel analysis codes consume considerable implementation and running times. To avoid the application of these codes, a fast-running deformation code was extended to a fuel behavior code called BALO-2A. With this code, two standard problems were performed: ISP-14, which is based on the bundle experiment REBEKA-6, and ISP-19, performed at the Phebus facility. In each standard problem, different methods have to be applied to obtain boundary conditions and input values. The results indicate that BALO-2A simulates fuel behavior under loss-of-coolant accident conditions quite well.