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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.
C. Toccoli, M. Caillaud, M. Démoulins, A. Laithier, S. Lemaire, J. C. Ribes, D. Riz
Nuclear Technology | Volume 168 | Number 3 | December 2009 | Pages 933-937
Miscellaneous | Special Issue on the 11th International Conference on Radiation Shielding and the 15th Topical Meeting of the Radiation Protection and Shielding Division (PART 3) / Radiation Protection | doi.org/10.13182/NT09-A9329
Articles are hosted by Taylor and Francis Online.
From a computing standpoint, flash X-ray radiography is much more time-consuming than traditional X-ray applications, and despite the constant increase of computing resources, methods to reduce the calculation time while preserving accuracy are highly needed. At the Commissariat à l'Energie Atomique, DIANE is the code devoted to flash X-ray calculations. After a brief description of the general features of DIANE, two selected methods implemented in DIANE to provide fast calculations are described. One concerns bremsstrahlung X-ray creation without electron transport electrons: the SSB model. The quality of this model is assessed within the framework of flash X-ray applications on two test problems with a fully photon-electron transport performed with MCNP5. The other focuses on particle tracking and Woodcock tracking. The performance of tracking within large meshes is evaluated.