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Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
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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May 2025
Jan 2025
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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Deep Isolation validates its disposal canister for TRISO spent fuel
Nuclear waste disposal technology company Deep Isolation announced it has successfully completed Project PUCK, a government-funded initiative to demonstrate the feasibility and potential commercial readiness of its Universal Canister System (UCS) to manage TRISO spent nuclear fuel.
Technical Session|Sponsored by MCD
Wednesday, November 16, 2022|10:00–11:45AM MST|Desert Willow
Session Chair:
Abdullah Weiss (NIST)
Alternate Chair:
Brian C. Kiedrowski
Session Organizer:
Sebastian Schunert (INL)
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High-to-Low Multi-Physics Modeling and Uncertainty Propagation Using NEAMS Tools
10:00–10:20AM MST
Joseph Fustero (NCSU), Walker Powell (NCSU), Kan Ni (NCSU), Nilay Atul Kulkarni (NCSU), Gregory K. Delipei (NCSU), David Holler (NCSU), Jason Hou (NCSU), Marco Delchini (ORNL), Ralph Smith (NCSU), Maria Avramova (NCSU)
Paper
Why is Uncertainty Quantification Important for Machine Learning Models?
10:20–10:40AM MST
Xu Wu (NCSU), Gregory Delipei (NCSU), Maria Avramova (NCSU), Kostadin Ivanov (NCSU)
Multifidelity Uncertainty Quantification in Stochastic Media Transport Problems
10:40–11:00AM MST
Gianluca Geraci (Sandia), Aaron J. Olson (Sandia)
A Sampling-Based Approach to Solve Sobol' Indices Using Variance Deconvolution for Arbitrary Uncertainty Distributions
11:00–11:20AM MST
Aaron J. Olson (Sandia), Kayla B. Clements (Oregon State), James M. Petticrew (Univ. Sheffield)
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