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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.
A. Dubi, S. A. W. Gerstl
Nuclear Science and Engineering | Volume 76 | Number 2 | November 1980 | Pages 198-217
Technical Paper | doi.org/10.13182/NSE80-A19451
Articles are hosted by Taylor and Francis Online.
Recently, a new Monte Carlo method called the contributon Monte Carlo method was developed. The method is based on the theory of “contributons” and utilizes a new recipe for estimating target responses using a volume integral over the contributon current. The analog features of the new method were discussed in previous publications. We examine the application of some biasing methods to the new contributon scheme. A theoretical model is developed that enables an analytic prediction of the benefit to be expected when these biasing schemes are applied to both the contributon method and regular Monte Carlo. This model is verified by a variety of numerical experiments and is shown to yield satisfying results, especially for deep-penetration problems. Other considerations regarding the efficient use of the new method are also discussed and remarks are made as to the application of other biasing methods.