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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.
Raymond E. Alcouffe, Thomas J. Hirons, R. Douglas O'Dell
Nuclear Science and Engineering | Volume 43 | Number 2 | February 1971 | Pages 173-185
Technical Paper | doi.org/10.13182/NSE71-A21265
Articles are hosted by Taylor and Francis Online.
A technique is demonstrated which is an alternative to the necessity of using many groups in order to perform an accurate fuel-cycle analysis on a fast breeder. This is accomplished by the consistent use of a space-dependent spectrum computed at the beginning-of-life of the system. The information thus generated is useful throughout the life of the system and allows an accurate and efficient analysis with very few energy groups. This technique is developed concisely for a finite differenced system of equations by the method of weighted residuals.