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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.
V. M. Shmakov, V. D. Lyutov, V. A. Bekhterev
Nuclear Science and Engineering | Volume 145 | Number 2 | October 2003 | Pages 234-246
Technical Paper | doi.org/10.13182/NSE03-A2379
Articles are hosted by Taylor and Francis Online.
Effective neutron multiplication factors for 66 critical systems were calculated in order to test the neutron data library BAS. The class of systems chosen for the keff calculations includes unreflected metal uranium and plutonium systems and systems that were reflected by 238U, Fe, Al, Ti, Pb, Be, C, CH2, and H2O. Configurations and materials used in these critical systems were taken from the "International Handbook of Evaluated Criticality Safety Benchmark Experiments." The calculations with BAS were performed using the codes PRIZMA-D and MCNP.4a. For comparison, the calculations were repeated using MCNP.4a with ENDF/B5 and ENDF/B6 cross-section data. A comparison of all results is provided.