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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.
Jungchung Jung, Hiroshi Chijiwa, Keisuke Kobayashi,Hiroshi Nishihara
Nuclear Science and Engineering | Volume 49 | Number 1 | September 1972 | Pages 1-9
Technical Paper | doi.org/10.13182/NSE49-01-01
Articles are hosted by Taylor and Francis Online.
A discrete ordinate transport equation in two dimensions equivalent to the PL approximation is derived to eliminate the ray effect in the ordinary discrete ordinate equations. The number of the discrete ordinates, or the number of unknown functions of this discrete ordinate equation, is equal to that of the PL equations. Since it is also possible to obtain boundary conditions equivalent to those of the PL approximation at the interface of mediums or at the free surface, we can obtain a solution identical to that of the PL equation.