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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.
Toichiro Fujimura, Yasushi Matsui
Nuclear Science and Engineering | Volume 77 | Number 3 | March 1981 | Pages 360-367
Technical Note | doi.org/10.13182/NSE81-A19845
Articles are hosted by Taylor and Francis Online.
The effectiveness of an adaptive acceleration method is studied for the inner iterations in some neutron diffusion codes. The acceleration method can be easily incorporated in the process of the general first-order stationary linear iterations. The effectiveness is shown theoretically in the case when the iteration matrix is nonnegative definite. The numerical results of its applications to the successive over-relaxation and alternating direction implicit iterations are presented. It is shown to work effectively even when the fixed parameter of the iteration is not chosen optimally. Some variants of the acceleration method are also given.