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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. Gilmore, G. J. Russell, H. Robinson, R. E. Prael
Nuclear Science and Engineering | Volume 99 | Number 1 | May 1988 | Pages 41-52
Technical Paper | doi.org/10.13182/NSE88-A23544
Articles are hosted by Taylor and Francis Online.
Axial distributions of fissions and of fertile-to-fissile conversions in thick depleted uranium and thorium targets bombarded by 800-MeV protons have been measured. The amounts of 239Pu and 233 U produced were determined by measuring the yields of 239Np and 233Pa, respectively. The number of fissions was deduced from fission product mass-yield curves. Integration of the axial distributions gave the total number of conversions and fissions occurring in the targets. For the uranium target, experimental results were 5.90 ± 0.25 fissions and 3.81 ± 0.01 atoms of239Pu produced per incident proton. Corresponding calculated results were 6.14 ± 0.04 and 3.88 ± 0.03. In the thorium target, 1.56 ± 0.25 fissions and 1.25 ± 0.01 atoms of 233U per incident proton were measured; the calculated values were 1.54 ±0 0.01 fissions and 1.27 ± 0.01 atom/proton.