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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.
Hosny M. Attaya, Mohamed E. Sawan
Fusion Science and Technology | Volume 8 | Number 1 | July 1985 | Pages 608-613
Blanket and First-Wall Engineering | Proceedings of the Sixth Topical Meeting on the Technology of Fusion Energy (San Francisco, California, March 3-7, 1985) | doi.org/10.13182/FST85-A40106
Articles are hosted by Taylor and Francis Online.
A computer program for evaluating the poloidal distribution of the neutron wall loading (NWL) in toroidal fusion reactors is developed using numerical integration for general plasma and wall shapes. The neutron source within the plasma could be uniform or could be described to properly represent the neutron density associated with the magnetic flux surfaces. The method and techniques used in NEWLIT are presented. A comparison with the Monte-Carlo code MCNP shows excellent agreement with substantial savings in computer time and required user time. To verify the validity of the NWL as calculated by NEWLIT, a detailed 3-D neutronics calculation was carried out for a representative tokamak reactor. The poloidal distribution of the important responses is compared to the NWL poloidal distribution.
