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Conference Spotlight
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.
Bradley A. Clark
Nuclear Science and Engineering | Volume 92 | Number 2 | February 1986 | Pages 186-191
Technical Paper | doi.org/10.13182/NSE86-A18164
Articles are hosted by Taylor and Francis Online.
A new three-point nonlinear difference scheme for diffusion synthetic acceleration (DSA) of the radiation transport equation is described. The new scheme is compared with the standard one-point method on two test problems. In addition, the two DSA methods are used to accelerate a variety of discrete ordinates difference schemes. The methods are very effective in accelerating the convergence of the transport iteration. Each of the DSA methods is accelerated by grey, or one-group, diffusion acceleration equation, which is also successful in increasing efficiency. The new method is at least 50% faster than one-point DSA method and this advantage increases with the difficulty of the problem and with tighter convergence criteria. The new acceleration method reduces computer time by at least one order of magnitude compared to unaccelerated calculations.