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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. Y. Fu, K. J. Yost
Nuclear Science and Engineering | Volume 41 | Number 2 | August 1970 | Pages 193-208
Technical Paper | doi.org/10.13182/NSE70-A20707
Articles are hosted by Taylor and Francis Online.
A unified model of deformed odd-odd nuclei has been formulated as an aid in nuclear data generation and evaluation. The model employs products of single-particle Nilsson wave functions as basis functions. The coupling of angular momenta of the odd nucleons is assumed to obey the Gallagher-Moszkowski coupling rules. The matrix elements of the proton-neutron residual interaction potential are evaluated with the use of oscillator brackets. The validity of the model has been established by computing and comparing with experimental data nuclear-energy levels and/or gamma-ray transition probabilities for 23Na, 28Al, 166Ho, 182Ta, and 238Np. The calculated results compare quite well with experiment. Special attention has been given to the establishment of an efficient computational method.