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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.
Yinlu Han
Nuclear Science and Engineering | Volume 146 | Number 1 | January 2004 | Pages 106-119
Technical Paper | doi.org/10.13182/NSE04-A2397
Articles are hosted by Taylor and Francis Online.
Through experimental data of total, nonelastic scattering, elastic scattering cross sections, and elastic scattering angular distributions of Sn, a set of neutron optical model potential parameters is obtained. All reaction cross sections, angular distributions, energy spectra, gamma-ray production cross sections, gamma-ray production energy spectra, especially, the double-differential cross section for neutron, proton, deuteron, triton, and alpha emission, and inelastic scattering cross sections and inelastic scattering angular distributions for low-lying residual nucleus states are calculated and analyzed for n + 112,114-120,122,124,natSn at incident neutron energies from 0.1 to 20 MeV based on measured data and the nuclear model theory, which are an optical, semiclassical model of multistep nuclear reaction processes and distorted-wave Born approximation theory. Theoretical calculations are compared with existing experimental data and other evaluated data from JENDL-3.