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Division Spotlight
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
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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
May 2024
Nuclear Technology
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Glass strategy: Hanford’s enhanced waste glass program
The mission of the Department of Energy’s Office of River Protection (ORP) is to complete the safe cleanup of waste resulting from decades of nuclear weapons development. One of the most technologically challenging responsibilities is the safe disposition of approximately 56 million gallons of radioactive waste historically stored in 177 tanks at the Hanford Site in Washington state.
ORP has a clear incentive to reduce the overall mission duration and cost. One pathway is to develop and deploy innovative technical solutions that can advance baseline flow sheets toward higher efficiency operations while reducing identified risks without compromising safety. Vitrification is the baseline process that will convert both high-level and low-level radioactive waste at Hanford into a stable glass waste form for long-term storage and disposal.
Although vitrification is a mature technology, there are key areas where technology can further reduce operational risks, advance baseline processes to maximize waste throughput, and provide the underpinning to enhance operational flexibility; all steps in reducing mission duration and cost.
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)
Paper
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 (Visible to Attendees)
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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