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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.
D. L. Henderson, C. W. Maynard
Nuclear Science and Engineering | Volume 97 | Number 3 | November 1987 | Pages 203-210
Technical Paper | doi.org/10.13182/NSE97-203
Articles are hosted by Taylor and Francis Online.
By making use of the Laplace transform technique, time-dependent first-flight leakage rates from slabs, spherical shells, and spheres with a uniform source distribution and a delta-shaped pulse have been calculated from their steady-state counterparts found in the available literature. Time-dependent solutions for a quadratic source distribution with a delta pulse have been obtained for a slab and a solid sphere. Using the results for a slab and a solid sphere with a uniform source as a Green’s function, the case of a constant source emitting neutrons over a time interval Δt is considered.