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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Standards Program
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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Latest News
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.
Simon Chung, Martin Stewart, Peter Wypych, David Hastie, Andrew Grima, Sam Moricca
Nuclear Technology | Volume 211 | Number 4 | April 2025 | Pages 821-847
Research Article | doi.org/10.1080/00295450.2024.2361195
Articles are hosted by Taylor and Francis Online.
This research presents a discrete element method (DEM) model for simulating the vibratory filling of the Idaho calcine waste simulant into various convoluted hot isostatic pressing canisters. The simulation closely emulates the experimental vibratory powder-filling processes, achieving accurate representations of surface profiles and powder bed heights. Notably, the model underestimates lower fill levels but demonstrates improved accuracy at higher levels due to diminished air influence. Executed on a consumer-grade desktop PC, the DEM model replicates tapped powder bed heights to within millimeters, proving its capability to efficiently simulate commercial-scale bulk material handling processes using standard computing hardware.