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Conference Spotlight
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.
Vincent Hedberg, Mikhail Morev, Marco Silari, Zuzana Zajacová
Nuclear Technology | Volume 173 | Number 3 | March 2011 | Pages 327-331
Technical Note | Radiation Measurements and Instrumentation | doi.org/10.13182/NT11-A11666
Articles are hosted by Taylor and Francis Online.
Predictions of high-energy hadron activation of liquid argon in the calorimeter of A Thoroidal LHC ApparatuS (ATLAS) were carried out by folding particle flux spectra with the radionuclide production cross sections. Calculations were performed with a wide array of input data. Six sets of cross sections were folded with two sets of particle flux spectra, and the results were compared. The particle fluxes were obtained from simulations with the Monte Carlo radiation transport codes FLUKA and GCALOR. The cross-section sets were calculated according to the Rudstam and the Silberberg-Tsao formulas; taken from the Japanese Evaluated Nuclear Data Library (JENDL) and the Medium Energy Nuclear Data Library (MENDL); obtained from the Large Hadron Collider air activation studies; and compiled from various, predominantly experimental, sources.