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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.
S.Pearlstein
Nuclear Science and Engineering | Volume 95 | Number 2 | February 1987 | Pages 116-127
Technical Paper | doi.org/10.13182/NSE87-A20422
Articles are hosted by Taylor and Francis Online.
Neutron emission spectra from targets bombarded by 318-, 590-, and 800-MeV protons are analyzed. At each emission angle the major features of the emergent neutrons throughout their energy range can be described by the sum of four evaporation terms. The characteristic emission temperatures are approximately the same for eight targets in the mass range of A = 12 to 238. The (p,xn) cross section at an incident proton energy of 590 MeV varies very nearly as A4/3. A parameterized model with parameter covariances is developed that describes for the above proton energy range the essential features of neutron emission spectra including quasi-elastic peaks. Calculation times are very short, of the order of 1 s.