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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.
J. G. Goodwin, F. R. Lorenz
Nuclear Science and Engineering | Volume 6 | Number 1 | July 1959 | Pages 49-56
Technical Paper | doi.org/10.13182/NSE59-A25626
Articles are hosted by Taylor and Francis Online.
Five 30-lb, 4-in. diam iodide hafnium ingots representing material typical of that utilized for the Shippingport PWR were fabricated into strip. Typical tensile, impact, hardness, corrosion test weight gain, electrical resistivity, and chemical analysis values were obtained by testing samples from each strip. The effect of irradiation on the impact strength and hardness of hafnium strip was investigated by subjecting a total of 36 subsized Izod impact specimens to irradiation for two cycles in the MTR. A duplicate group of nonirradiated specimens was used as a control group. The mechanical, physical, and corrosion property measurements for the nonirradiated and irradiated samples showed no physically significant differences attributable to chemical analysis. The impact strength and hardness values for the irradiated specimens showed differences which were attributable to the integrated neutron flux received.