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Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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Integrating Waste Management for Advanced Reactors: The Universal Canister System and Project UPWARDS
When the Department of Energy’s Advanced Research Projects Agency–Energy launched the Optimizing Nuclear Waste and Advanced Reactor Disposal Systems (ONWARDS) program in 2022, it posed a challenge that the nuclear industry had never seriously confronted before: how to design waste management solutions that anticipate the coming shift to advanced reactors and not merely retrofit existing systems built for an older generation of technology. The program’s objectives were ambitious—reduce disposal footprint, enable scalable pathways for unfamiliar waste streams, and build the technical foundations for future disposal—yet also tightly grounded in the realities of emerging nuclear fuel cycles. For the nuclear community, this was a timely call. Advanced reactors were accelerating toward deployment, but the waste management systems needed to support them had not kept pace.
Radiation Protection and Shielding Division 2024 (RPSD 2024)
Technical Session
Tuesday, November 19, 2024|10:00–11:45AM EST|Longboat 1
Session Chairs:
Joel A. Kulesza (LANL)
Curtis Brown (MPR)
Alternate Chair:
Matthew Anderson (INL)
Session Organizer:
Michael Reichenberger
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A Numerical Investigation and Comparison of 26 Types of Concrete for Shielding in Proton Therapy Facilities
10:00–10:20AM EST
Po-Wen Fang (Nat'l Tsing Hua Univ.), Rong-Jiun Sheu (Nat'l Tsing Hua Univ.)
Paper
Simplifying Radiation Transport Simulations with Cyclone Sage
10:20–10:40AM EST
Daniel Cork (Orthrus Software), Peter Taylor (Orthrus Software), John Billingsley (Cerberus Nuclear)
Machine Learning in Accelerator Shielding: Application Using Convolutional Neural Networks
10:40–11:00AM EST
Rajarshi Pal Chowdhury (Michigan State), Juan Zamora (Michigan State), Tom Ginter (Michigan State), Georg Bollen (Michigan State)
ADEPT -- Virtual Reality Visualization and Real-Time Calculation of Dose Rate Fields for Dose Planning
11:00–11:20AM EST
Anderson Alves (KINECTRICS), Eric Heritage (KINECTRICS), Matthew Smith (KINECTRICS)
Predicting Solution Color in Solvent Extraction Using Machine Learning and Non-Traditional Sensor Measurements
11:20–11:40AM EST
Omobolade Odedoyin (John Hopkins University), Edna Cardenas (INL), Luis A. Ocampo Giraldo (INL), Mitchell R. Greenhalgh (INL), Jay D. Hix (INL)
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