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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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Nuclear Science and Engineering
January 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
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.
Technical Session
Wednesday, May 18, 2022|1:30–3:15PM EDT|Ellwood
Session Chair:
Ishita Trivedi
Session Organizer:
Alternate Chair:
Vefa N. Kucukboyaci
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Using Griffin's Transmutation Solver to Calculate Radiation Damage
Micah Gale (INL), Olin Calvin (INL), Sebastian Schunert (INL)
Paper
Monte Carlo Variance Reduction in MOOSE Stochastic Tools Module: Accelerating the Failure Analysis of Nuclear Reactor Technologies
Somayajulu L.N. Dhulipala (INL), Zachary M. Prince (INL), Andrew E. Slaughter (INL), Lynn B. Munday (INL), Wen Jiang (INL), Benjamin W. Spencer (INL), Jason D. Hales (INL)
Towards Multiphysics Simulations of Fusion Breeder Blankets
Helen Brooks (UKAEA), Stephen Dixon (UKAEA), Andrew Davis (UKAEA)
Spectrally-Resolved Electron Transport for Thermal Property Prediction
Jackson R. Harter (INL), Shuxiang Zhou (INL), Sebastian Schunert (INL), Andrea Jokisaari (INL), P. Alex Greaney (Univ. California, Riverside)
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