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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.
Arthur Shieh, Richard Riemke
Nuclear Science and Engineering | Volume 105 | Number 4 | August 1990 | Pages 404-408
Technical Paper | doi.org/10.13182/NSE90-A21474
Articles are hosted by Taylor and Francis Online.
The RELAP5 transient thermal-hydraulic code is a widely accepted analysis tool for light water nuclear reactor safety studies. There are several matrix solvers in the code that can consume a significant portion of run time. Enhancing the diagonal dominance of the coefficient matrix used in the matrix solver for the nearly implicit method can significantly improve the code performance. Three numerical schemes are presented for enhancing the diagonal dominance of the coefficient matrix, and it is shown that for all three schemes the same solution strategy can be repeated from one time level to another. These schemes, therefore, give grind times that can be considerably smaller than the scheme originally used in the code. Numerical results confirm the findings.