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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.
L. Srinivasan
Nuclear Science and Engineering | Volume 79 | Number 2 | October 1981 | Pages 228-233
Technical Note | doi.org/10.13182/NSE81-A27411
Articles are hosted by Taylor and Francis Online.
A new numerical approach is attempted to solve the three-dimensional multigroup diffusion equation in rectangular geometry using the principles of variational calculus. The method essentially consists in separating the variables along the x, y, and z directions so that the neutron flux can be synthesized into three components to get an approximate solution. This solution can be used as a starting trial function for flux in the next step, where the variables are treated nonseparable in order to get a better solution. The effect of separation of variables is also studied. Detailed calculations are performed for a benchmark problem and the results are presented along with published values that are calculated using finite difference codes.