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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Nuclear Science and Engineering
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WIPP: Lessons in transportation safety
As part of a future consent-based approach by the federal government to site new deep geologic repositories for nuclear waste, local communities and states that are considering hosting such facilities are sure to have many questions. Currently, the Waste Isolation Pilot Plant in New Mexico is the only example of such a repository in operation, and it offers the opportunity for state and local officials to visit and judge for themselves the risks and benefits of hosting a similar facility. But its history can also provide lessons for these officials, particularly the political process leading up to the opening of WIPP, the safety of WIPP operations and transportation of waste from generator facilities to the site, and the economic impacts the project has had on the local area of Carlsbad, as well as the rest of the state of New Mexico.
Technical Session|Modeling, Analysis, and Methods
Wednesday, October 12, 2022|3:30–5:10PM EDT|Branle
Session Chair:
Jack Galloway (GE Hitachi)
Alternate Chair:
Charles Folsom (INL)
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CFD Prediction of Lower Plenum Flow Mixing During Boron Injection for BWR 3/4
3:30–3:55PM EDT
Chao Wang (Framatome), Steven Anderson (Framatome ), Markus Rehm (Framatome )
Paper
Coupling Burnup with Deterministic Transport: Procedure and Result Assessment
3:55–4:20PM EDT
Arturo Vivancos (Univ. Politècnica de València), Teresa Barrachina (Univ. Politècnica de València), Rafael Miró (Univ. Politècnica de València), Gumersindo Verdú (Univ. Politècnica de València), Álvaro Bernal (Nuclear Safety Council)
Implementation of a Multidimensional Diffusion-Based Neutronics Solver in OFFBEAT
4:20–4:45PM EDT
Edoardo Luciano Brunetto (École Polytechnique Fédérale de Lausanne), Alessandro Scolaro (École Polytechnique Fédérale de Lausanne), Carlo Fiorina (École Polytechnique Fédérale de Lausanne), Andreas Pautz (Paul Scherrer Institut)
Departure from Nucleate Boiling (DNB) Predictive Modeling Using a Machine Learning Approach
4:45–5:10PM EDT
Emre Tatli (Westinghouse Electric Co.), Yixing Sung (Westinghouse Electric Co. ), Alexander Mace (Westinghouse Electric Co.), Scott Sidener (Westinghouse Electric Co.), Zeses Karoutas (Westinghouse Electric Co.), Raji Kosloske (Westinghouse Electric Co.), Mario Buczkowski (Westinghouse Electric Co.)
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