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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.
R. G. Alsmiller, Jr., R. B. Perez, J. Barish
Nuclear Technology | Volume 36 | Number 1 | November 1977 | Pages 139-147
Technical Note | Material | doi.org/10.13182/NT77-A31967
Articles are hosted by Taylor and Francis Online.
A model based on phase-space considerations is developed to describe the fragmentation of UO2 by capacitor discharge, i.e., to predict such quantities as the amount of gas and liquid produced, the number of liquid fragments, the number distribution of the molecules in the liquid fragments, the kinetic-energy distribution of the gas and liquid fragments, etc. This model cannot give a unique numerical prediction of all of these quantities based only on the initial-state specification, but it does enable all of these quantities to be expressed in terms of the average internal energy of a gas molecule in the final state, the average binding energy of a UO2 molecule in a liquid fragment in the final state, and the average number of molecules in a liquid fragment in the final state.