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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.
Michael D. Allen, Harlan W. Stockman, Kenneth O. Reil, Arthur J. Grimley
Nuclear Technology | Volume 92 | Number 2 | November 1990 | Pages 214-228
Technical Paper | Nuclear Fuel | doi.org/10.13182/NT90-A34472
Articles are hosted by Taylor and Francis Online.
High-burnup uranium dioxide reactor fuel was heated in-pile at ∼2490 K in a reducing atmosphere (33% H2 in argon) for 16 min. Fission product aerosols and vapors released from the fuel were collected on a series of sequentially opened filters; the fractions of the original fuel inventory collected on the filters were f Cs = 0.56, f I = 0.38, f Ba = 0.078, f Sr = 0.053, f Eu = 0.064, and f Te < 0.002. The measured release rates for nonvolatile fission products were much higher than predicted by existing release codes, whereas tellurium release was much lower. Posttest examination of the fuel indicates extensive fuel/clad interaction, fuel swelling, and infiltration of the fuel by a zirconium-rich metallic melt; this melt kept oxygen potentials in the fuel very low. The low oxygen potentials and fuel disruption may account for the discrepancy between release codes and the test release results.