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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. L. Carter, E. D. Cashwell, W. M. Taylor
Nuclear Science and Engineering | Volume 48 | Number 4 | August 1972 | Pages 403-411
Technical Paper | doi.org/10.13182/NSE72-1
Articles are hosted by Taylor and Francis Online.
A scheme is proposed to sample the distance to collision, without resorting to numeric integration, when the total macroscopic cross section varies in an arbitrary manner along projected particle flight paths. This sampling scheme is utilized in some example problems to illustrate methods of optimizing the sampling of the collision point in such a manner as to minimize relative errors for a fixed amount of computation time.