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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.
P. Köhler
Nuclear Science and Engineering | Volume 78 | Number 2 | June 1981 | Pages 113-120
Technical Paper | doi.org/10.13182/NSE81-A20097
Articles are hosted by Taylor and Francis Online.
A numerical method for the calculation of the radial and axial diffusion coefficient for the hexagonal lattice of a high-temperature reactor with block elements is developed. Results for a typical lattice are given and a comparison with the formulas of Behrens and Benoist is made. A modification of Benoist's formulas for a tightly packed lattice that gives a better agreement with the numerical results is proposed.