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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.
H. K. Clark
Nuclear Science and Engineering | Volume 24 | Number 2 | February 1966 | Pages 133-141
Technical Paper | doi.org/10.13182/NSE66-A18298
Articles are hosted by Taylor and Francis Online.
The influence of the distribution of 235U, 239Pu, and 233U in water on the minimum critical mass, the minimum critical concentration per unit length of cylinder, and the minimum critical mass per unit area of slab surface is calculated. Two energy groups are employed in the calculations with parameters normalized to force agreement between calculations and experiments performed with water-reflected spheres containing uniform aqueous solutions having a wide range of concentrations. Calculations made with these parameters for a water-reflected cylinder, in which the optimum distribution for minimum mass was approximated within five coaxial regions, agree well with experimental results. Minimum critical masses, concentrations per unit length of cylinder, and masses per unit area calculated for 235U, 239Pu, and 233U are, respectively, 768 g, 16.9 g/cm, 0.417 g/ cm2; 492 g, 10.6 g/cm, 0.266 g/cm2; and 571 g, 13.5 g/cm, 0.362 g/cm2.