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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
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2023)
February 6–9, 2023
Amelia Island, FL|Omni Amelia Island Resort
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
November 2022
Nuclear Technology
December 2022
Fusion Science and Technology
Latest News
Fusion energy radwaste management considerations
The question of what to do with the radioactive waste has been raised frequently for both fission and fusion. In the 1970s, fusion adopted the land-based disposal option, primarily based on the Nuclear Regulatory Commission’s decision to regulate all radioactive wastes as only a disposal issue, following the fission guidelines. In the early 2000s, members of the Advanced Research Innovation and Evaluation Study (ARIES) national team became increasingly aware of the high amount of mildly radioactive materials that 1-GWe fusion power plants will generate, compared with the current line of fission reactors. The main concern is that such a sizable inventory of mostly tritiated radioactive materials would tend to rapidly fill U.S. repositories—a serious issue that was overlooked in early fusion studies1 that could influence the public acceptability of fusion energy and will certainly become more significant in the immediate future if left unaddressed, as fusion moves toward commercialization.
Technical Session|Sponsored by NCSD|Cosponsored by NNPD
Wednesday, November 18, 2020|2:40–4:20PM EST
Session Chair:
William Myers (LANL)
Alternate Chair:
John D. Bess
Session Organizer:
Jesson D. Hutchinson
Staff Producer:
Mich Leana (American Nuclear Society)
Here is the link for the best paper survey. Voting will close on Saturday. Please let me know if you have any questions. https://forms.gle/niDQWZB9ihkeg8EM7
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Sensitivity Studies, Gap Analysis, and Benchmark Experiment Optimization for Reactor Physics and Criticality Safety Applications
Jesson D. Hutchinson (Los Alamos National Laboratory), Robert C. Little (Los Alamos National Laboratory), Nicholas W. Thompson (Los Alamos National Lab), Travis A. Smith (Los Alamos National Laboratory), Michael E. Rising (Los Alamos National Laboratory), Isaac J. Michaud (Los Alamos National Laboratory), Noah A. Kleedtke (University of Michigan), Travis J. Grove (Los Alamos National Laboratory), Jennifer L. Alwin (Los Alamos National Laboratory)
Summary
Gaussian Process Optimization of Sensitivity-Based Similarity Metrics between New Nuclear Applications and New/Existing Benchmarks
Jesson D. Hutchinson (Los Alamos National Laboratory), Isaac J. Michaud (Los Alamos National Laboratory), Michael E. Rising (Los Alamos National Laboratory), Travis J. Grove (Los Alamos National Laboratory), Brian C. Kiedrowski (University of Michigan), Noah A. Kleedtke (University of Michigan)
Subcriticality Estimation using Unscented Kalman Filter for Reactivity- and Source-Transients
Cheol Ho Pyeon (Kyoto University, Institute for Integrated Radiation and Nuclear Science), Masao Yamanaka (Kyoto University, Institute for Integrated Radiation and Nuclear Science), Akio Yamamoto (Nagoya University), Tomohiro Endo (Nagoya University)
Presentation Video
Effect of Nuclear Data Covariances on Integral Experiment Design with Sensitivity and Uncertainty Analysis
David P. Heinrichs (LLNL), Alyssa Kersting (WRPS), Catherine M. Percher (LLNL), Daniel J. Siefman (LLNL)
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