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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. S. Hendricks, L. L. Carter
Nuclear Science and Engineering | Volume 89 | Number 2 | February 1985 | Pages 118-130
Technical Paper | doi.org/10.13182/NSE85-A18186
Articles are hosted by Taylor and Francis Online.
A synergistic method is described for the angle biasing of anisotropic scattering kernels in Monte Carlo calculations. The method generalizes Dwivedi's suggestion of using the exponential transform to cancel the undesirable fluctuations of angle biasing. Only photons are examined because the biasing of the Klein-Nishina scattering kernel can be treated analytically in contrast to more general neutron scattering kernels, which would require a numerical treatment. Three-dimensional continuous-energy results indicate that angle biasing in conjunction with the exponential transform is better than either by itself and greatly enhances Monte Carlo transport for the cases shown.