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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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GAO: Grouting Hanford tank waste could cost more than $1.1B
Workers move a container of treated tank waste as part of Hanford’s Test Bed Initiative to grout around 2,000 gallons of LAW for off-site disposal. (Photo: DOE)
Grouting Hanford’s low-level radioactive liquid tank waste could cost between $480 million and $1.1 billion, according to a report by the Government Accountability Office, which has repeatedly found that grouting (immobilizing waste in a concrete-like mixture) can accelerate cleanup at the Hanford Site and save billions of dollars when compared to mixing the waste with molten glass through the vitrification process.
Technical Session|Sponsored by RPD
Friday, December 3, 2021|10:00–11:45AM EST |Columbia 11
Session Chair:
Pavel V. Tsvetkov
Session Organizer:
Alternate Chair:
Massimiliano Fratoni
Student Assistant:
Matthew Hageman
To access the session recording, you must be logged in and registered for the meeting.
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To access paper attachments, you must be logged in and registered for the meeting.
Neutron Spectra and Correlation Coefficient Convergence When Designing a Microreactor Experiment with MCNP®/Whisper
10:05–10:25AM EST
Alexis Maldonado (LANL), Christopher M. Perfetti (Univ. of New Mexico), Holly R. Trellue (LANL), Mikaela e. Blood (LANL)
Paper
Testing of an Optical Fiber Based Gamma Thermometer in the Ohio State University Research Reactor
10:25–10:45AM EST
Anthony Birri (Ohio State Univ.), Joshua Jones (Ohio State Univ.), Thomas E. Blue (Ohio State Univ.)
The Current Status of the In-Core Testing Program for an Optical Fiber Based Gamma Thermometer at the Texas A&M University Research Reactor
10:45–11:05AM EST
J. Tyler Gates (Texas A&M Univ.), Noah Morton (Texas A&M Univ.), Pavel V. Tsvetkov (Texas A&M Univ.)
ACCRUE - An Integral Similarity Index in Support of Neutronic Model Validation
11:05–11:25AM EST
Jeongwon Seo (Purdue Univ.), Hany Abdel-Khalik (Purdue Univ.), Aaron S. Epiney (INL)
Antineutrino-Based Machine Learning Analysis for Small Reactor Composition Verification
11:25–11:45AM EST
Matthew Dunbrack (Georgia Institute of Technology), Christopher Stewart (Univ. of California, Berkeley), Anna Erickson (Georgia Institute of Technology)
