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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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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|Mathematics and Computation (MCD)
Monday, June 1, 2026|3:15–5:00PM MDT|Director's Row E
Session Chair:
Kendra Long
Alternate Chair:
Majdi I. Radaideh (Univ. Michigan, Ann Arbor)
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Machine Learning Weather Models for Nuclear Fallout Dispersion Prediction
3:15–3:35PM MDT
Jorden Gershenson
Paper
A Domain Decomposition Approach for 1-D Transport with Anisotropy using Physics-Informed Neural Networks
3:35–3:55PM MDT
Ravi S. Shastri (Univ. Michigan, Ann Arbor), Abraham Skoczylas, Patrick Myers (Univ. Michigan), Majdi I. Radaideh (Univ. Michigan, Ann Arbor), Brian C. Kiedrowski (Univ. Michigan)
Control Rod Worth Calibration using Gaussian Process Regression for the TRIGA Mk-II Reactor
3:55–4:15PM MDT
Jeongwon Seo (Univ. Texas, Austin), Sam Queralt (Univ. Texas, Austin), William S. Charlton (Univ. Texas, Austin), Kevin T. Clarno (Univ. Texas, Austin)
Numerical exploration of low-fidelity model alternatives for multi-fidelity sampling in radiation transport problems with stochastic media
4:15–4:35PM MDT
Alec Shelley, Daniel Tartakovsky (Stanford), Gianluca Geraci (Sandia), Aaron J. Olson (Sandia)
Machine Learning Applications to Predict Transmission Spectra of Molten Salts
4:35–4:55PM MDT
Aarin N. Henning (Georgia Tech), Mathew W. Swinney (ORNL)
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