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Division Spotlight
Aerospace Nuclear Science & Technology
Organized to promote the advancement of knowledge in the use of nuclear science and technologies in the aerospace application. Specialized nuclear-based technologies and applications are needed to advance the state-of-the-art in aerospace design, engineering and operations to explore planetary bodies in our solar system and beyond, plus enhance the safety of air travel, especially high speed air travel. Areas of interest will include but are not limited to the creation of nuclear-based power and propulsion systems, multifunctional materials to protect humans and electronic components from atmospheric, space, and nuclear power system radiation, human factor strategies for the safety and reliable operation of nuclear power and propulsion plants by non-specialized personnel and more.
Meeting Spotlight
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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Feb 2025
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Nuclear Science and Engineering
March 2025
Nuclear Technology
Fusion Science and Technology
February 2025
Latest News
Colin Judge: Testing structural materials in Idaho’s newest hot cell facility
Idaho National Laboratory’s newest facility—the Sample Preparation Laboratory (SPL)—sits across the road from the Hot Fuel Examination Facility (HFEF), which started operating in 1975. SPL will host the first new hot cells at INL’s Materials and Fuels Complex (MFC) in 50 years, giving INL researchers and partners new flexibility to test the structural properties of irradiated materials fresh from the Advanced Test Reactor (ATR) or from a partner’s facility.
Materials meant to withstand extreme conditions in fission or fusion power plants must be tested under similar conditions and pushed past their breaking points so performance and limitations can be understood and improved. Once irradiated, materials samples can be cut down to size in SPL and packaged for testing in other facilities at INL or other national laboratories, commercial labs, or universities. But they can also be subjected to extreme thermal or corrosive conditions and mechanical testing right in SPL, explains Colin Judge, who, as INL’s division director for nuclear materials performance, oversees SPL and other facilities at the MFC.
SPL won’t go “hot” until January 2026, but Judge spoke with NN staff writer Susan Gallier about its capabilities as his team was moving instruments into the new facility.
Technical Session
Friday, April 9, 2021|2:30–4:30PM EDT
Session Chair:
David Holler (NCSU)
Alternate Chair:
Ishita Trivedi
Session Organizer:
Edward Chen (NCSU)
Track Organizer:
Session Producers:
Anthony Alberti (OSU)
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Preliminary Analysis of APR1400 Benchmark with MPACT
Kaitlyn E. Barr (University of Michigan Ann Arbor), Brendan M. Kochunas (University of Michigan)
Paper
Implementation of the SP3 Equations in a MOOSE-based Application
Roberto Fairhurst Agosta (University of Illinois at Urbana-Champaign), Kathryn D. Huff (University of Illinois Urbana Champaign)
Effects of the Location and Composition of Burnable Absorber in Fuel Assemblies of a WWER-1200 Reactor on the Campaign Parameters
Mariia Levon (Obninsk Institute for Nuclear Power Engineering), Ruslan Vnukov (Obninsk Institute for Nuclear Power Engineering), Valery Kolesov (Obninsk Institute for Nuclear Power Engineering)
Graphite Moderated Sub-Critical Summary
Jerod W. Warren (United States Military Academy (West Point)), Collin R. Combs (United States Military Academy), Adrian Garlant (United States Military Academy)
Adjoint Solution of Time-dependent Multigroup Diffusion Model with Generalized Temporal and Spatial Boundary Conditions
Tao Liu (Virginia Commonwealth University), Zeyun Wu (Virginia Commonwealth University)
PWR Core Loading Pattern Optimization with Reinforcement Learning
Paul R. Seurin (Massachusetts Institute of Technology (MIT)), Koroush Shirvan (Massachusetts Institute of Technology)
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