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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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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.
Jung-Woo Kim, Dong-Keun Cho, Nak-Youl Ko, Jongtae Jeong, Min-Hoon Baik
Nuclear Technology | Volume 203 | Number 1 | July 2018 | Pages 1-16
Technical Paper | doi.org/10.1080/00295450.2018.1426331
Articles are hosted by Taylor and Francis Online.
New methodology for a risk-based safety assessment of a geological disposal system of nuclear waste was implemented using the numerical Korea Atomic Energy Research Institute (KAERI) Performance Assessment Model (K-PAM). K-PAM was applied to a conceptual geological disposal system for pyroprocessed radioactive wastes based on the KAERI Underground Research Tunnel (KURT) site. The methodology was systematically organized for model development considering two types of external events: earthquakes and well intrusion. Following description of its conceptual models and submodules, K-PAM was partially verified by comparing the consequences of two major modules of K-PAM—engineered barrier system and natural barrier system—with those by a well-known, comparable process model using COMSOL. In addition, K-PAM was demonstrated using three scenarios: (1) the reference scenario, in which the normal consequences of the disposal system without external events could be predicted; (2) the deterministic complex scenario, in which the impacts of individual external events on the disposal system could be estimated separately; and (3) the probabilistic complex scenario, in which the efficiency of the new methodology for a risk-based safety assessment could be confirmed numerically by showing the probable maximum dose rate according to any single scenario, the convergence of risk, the dominant impacts contributing to the maximum dose rate, and the probability of occurrence of the scenario groups.