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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.
Joshua Peterson, Erich Schneider
Nuclear Science and Engineering | Volume 173 | Number 1 | January 2013 | Pages 28-42
Technical Paper | doi.org/10.13182/NSE11-49
Articles are hosted by Taylor and Francis Online.
A modified form of first-order perturbation theory, called phase-space interpolated perturbation theory (PSIPT), was developed to more accurately model families of perturbations where changes are intermediate to defined reference and bounding configurations. PSIPT can thus be used on any application where the range of change to the system is known a priori but the magnitude of change is not known. PSIPT is demonstrated for several applications, notably the position of the outer shim control cylinders (OSCCs) at the Advanced Test Reactor (ATR). The current method used for calculating the OSCC positions during a cycle startup utilizes a heuristic trial-and-error approach that is impractical with advanced computationally intensive reactor physics tools. PSIPT is implemented into a method to automate shim rotation prediction for startup.