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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.
Biplab Ghosh, S. B. Degweker
Nuclear Science and Engineering | Volume 147 | Number 2 | June 2004 | Pages 167-175
Technical Paper | doi.org/10.13182/NSE04-A2426
Articles are hosted by Taylor and Francis Online.
Measurements of neutron flux in the laboratory are known to show significant departure from the inverse square law due to reflection of neutrons from the walls, floor, and ceiling of the laboratory. A simple model is developed to describe the flux distribution due to a point isotropic source in such a situation by treating the room as a cavity with reflecting walls. The model is exactly solvable for a spherical cavity and leads to a simple formula for the flux distribution. The formula thus derived shows good agreement with Monte Carlo computations. Small deviations of the formula from the computed results, particularly for thin walls, are explained as being caused by the anisotropy of the incoming angular distribution of the reflected flux.