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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.
J. Eduard Hoogenboom
Nuclear Science and Engineering | Volume 160 | Number 1 | September 2008 | Pages 1-22
Technical Paper | doi.org/10.13182/NSE160-01
Articles are hosted by Taylor and Francis Online.
Zero-variance Monte Carlo schemes have been discussed in the literature at several places. Taking a fresh look, it turns out that some authors made essential errors in their derivation and conclusions. We will prove that for a given estimator there is only one zero-variance scheme possible with a unique biasing of the source function and the transition and collision kernels. A practical demonstration of a zero-variance scheme will be shown numerically for a two-group homogeneous slab system treated by the two-direction transport model, which provides an analytical solution for the particle flux and adjoint functions.