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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.
Stefan Goos
Nuclear Science and Engineering | Volume 101 | Number 2 | February 1989 | Pages 133-136
Technical Paper | doi.org/10.13182/NSE89-A23602
Articles are hosted by Taylor and Francis Online.
A simple estimation of the absolute value of the error in the dependence of the step number performed for the implicit (backward) Euler method has been derived for the case of a single ordinary differential equation (ODE). This estimation distinctly shows the way and the degree to which the implicit Euler method (recommended in user guides for the RELAP4 family of codes) can give more inaccurate results than the explicit (forward) method. The short and simple reasoning presented should be treated as an indication of the problem. Error estimation for a general system of ODEs is an extremely difficult and complex task, and it is still not completely solved.