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Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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AI and productivity growth
Craig Piercycpiercy@ans.org
This month’s issue of Nuclear News focuses on supply and demand. The “supply” part of the story highlights nuclear’s continued success in providing electricity to the grid more than 90 percent of the time, while the “demand” part explores the seemingly insatiable appetite of hyperscale data centers for steady, carbon-free energy.
Technically, we are in the second year of our AI epiphany, the collective realization that Big Tech’s energy demands are so large that they cannot be met without a historic build-out of new generation capacity. Yet the enormity of it all still seems hard to grasp.
or the better part of two decades, U.S. electricity demand has been flat. Sure, we’ve seen annual fluctuations that correlate with weather patterns and the overall domestic economic performance, but the gigawatt-hours of electricity America consumed in 2021 are almost identical to our 2007 numbers.
Changho Lee, Hansol Park, Yeon Sang Jung, Cooper Trucks
Nuclear Science and Engineering | Volume 199 | Number 1 | April 2025 | Pages S42-S55
Review Article | doi.org/10.1080/00295639.2024.2348855
Articles are hosted by Taylor and Francis Online.
High-fidelity deterministic steady-state simulations of the Empire microreactor problem were conducted using the discontinuous finite element method–based discrete ordinate solver in Griffin, accompanied by the online cross-section self-shielding application programming interface (SSAPI). The 68-group cross-section libraries for SSAPI were generated through a series of Python scripts and using a combination of Serpent2, NJOY, and MC2-3 with ENDF/B-VII.0, VII.1, and VIII.0 data. Additionally, the 27-group libraries were generated as well to improve computational performance while maintaining the solution accuracy. The capabilities of Griffin with these three ENDF/B cross-section libraries were rigorously tested across various Empire microreactor benchmark problems, including fuel assembly and two- and three-dimensional cores with control drums rotated in or out. The calculation results convincingly demonstrated that Griffin with the cross-section libraries and SSAPI achieves accurate simulations of the Empire microreactor cores, exhibiting accuracy in terms of eigenvalue, control drum reactivity worth, and pin power distribution when compared to corresponding Serpent2 solutions.
