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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.
Tejbir Singh, Paramjeet Kaur, Parjit S. Singh
Nuclear Science and Engineering | Volume 156 | Number 2 | June 2007 | Pages 229-243
Technical Paper | doi.org/10.13182/NSE07-A2699
Articles are hosted by Taylor and Francis Online.
Mass attenuation coefficient, effective atomic number, and electron density of 12 organic acids, acetic acid (C2H4O2), acrylic acid (C3H4O2), benzoic acid (C7H6O2), butyric acid (C4H8O2), citric acid (C6H8O7), formic acid (CH2O2), lactic acid (C3H6O3), malic acid (C4H6O5), oxalic acid (C2H2O4), salicylic acid (C7H6O3), tartaric acid (C4H6O6), and valeric acid (C5H10O2), were computed in the wide energy range of incident photon energies from 1 keV to 100 GeV. The variation of these parameters has been studied as a function of incident photon energy. Further, a comparative study of two different methods used to compute effective atomic number is completed.
