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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
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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
Monday, May 16, 2022|1:30–3:15PM EDT|Brighton III/IV
Session Chair:
Ayman I. Hawari (NCSU)
Alternate Chair:
Kenichi Tada (Japan Atomic Energy Agency)
Session Organizer:
John D. Bess
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Evaluation of the GaAs Displacement Damage Metric Using Updated Nuclear Data
Nicholas Asper (Univ. Texas, Austin), Bill Charlton (Univ. Texas, Austin), Patrick J. Griffin (Sandia)
Paper
Thermal Scattering Law for Structure-Dependent-Doppler Broadening in FLASSH
J.P.W. Crozier (NCSU), N.C. Fleming (NCSU), A.I. Hawari (NCSU)
FLASSH 1.0: Thermal Scattering Law Evaluation and Cross Section Generation for Reactor Physics Applications
N.C. Fleming (NCSU), C.A. Manring (NCSU), B.K. Laramee (NCSU), J.P.W. Crozier (NCSU), E. Lee (NCSU), A.I. Hawari (NCSU)
Development of a Phonon-Based Sampling Method for Thermal Neutron Scattering Data
Amelia Trainer (MIT), Benoit Forget (MIT)
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