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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.
Hem Prabha Raghav
Nuclear Science and Engineering | Volume 78 | Number 1 | May 1981 | Pages 91-96
Technical Note | doi.org/10.13182/NSE78-91
Articles are hosted by Taylor and Francis Online.
The expression for the neutron escape probability from an absorbing body has been expressed in terms of two polynomials. The main feature of these polynomials is that only the coefficients depend on the shape of the geometry while the expressions remain same. At the same time, the resulting expressions for the escape probability ensure the correct behavior in the white and black limits. As examples, numerical results are presented for five geometries: a sphere, a slab, an infinite solid cylinder, a two-dimensional square geometry having infinite height, and a three-dimensional cuboid. The results obtained by using these polynomials match very well with the exact results obtained by using the program POLM, which solves numerically the exact expressions for the escape probability for the respective geometries.