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Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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Nuclear Science and Engineering
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Fusion Science and Technology
August 2026
Latest News
Study mapping U-10Zr porosity informs metallic fuel design
Researchers at Idaho National Laboratory and the Massachusetts Institute of Technology have conducted a three-dimensional study of irradiated U-10Zr—uranium alloyed with 10 percent zirconium—across key radial regions, providing new insights into how the material swells, transfers heat, and interacts with the fuel cladding.
U-10Zr was extensively tested in historical sodium-cooled fast reactors and is now attracting attention for use in next-generation advanced reactors.
Technical Session|Lightning Talks
Friday, April 5, 2024|1:35–2:55PM EDT|Hallowell Nuclear Innovation Commons
Session Chair:
Erik Hisahara (Penn State University)
Alternate Chair:
Aamer Bashir (Penn State University)
Session Organizer:
Jonathan B. Balog (Penn State University)
To access paper attachments, you must be logged in and registered for the meeting.
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Investigating Molten Salt Corrosion: A ReaxFF Molecular Dynamics Study
1:35–1:45PM EDT
Daniel H. Flynn (Penn State), Hamdy Arkoub (Penn State)
Paper
Implementation of Radiation in Cardinal Single Pebble Model for Low Flow Accident Scenarios
1:45–1:55PM EDT
Michael J. Seneca (Penn State), Haomin Yuan (ANL), Luiz C. Aldeia (Penn State), David Reger (Penn State), Tri Nguyen (Penn State), Elia Merzari (Penn State)
Economic Analysis of a Fusion Fission Hybrid System
1:55–2:05PM EDT
Virginia Lilly (Univ. Wisconsin, Madison), Matthew Nyberg (Univ. Wisconsin, Madison), Ben Lindley (Univ. Wisconsin, Madison)
X-ray-Triggered Dual-Response in Lanthanum-Doped LaPO4 Nanoparticles for Enhanced Radiotherapy
2:05–2:15PM EDT
Santiago Bermudez Naranjo (Virginia Commonwealth Univ.), Jessika V. Rojas (Virginia Commonwealth Univ.)
Predicting Solution Color in Solvent Extraction Using Machine Learning and Non-Traditional Sensor Measurements
2:15–2:25PM EDT
Omobolade A. Odedoyin (Johns Hopkins Univ.), Edna Cardenas (INL), Luis Ocampo Giraldo (INL), Mitchell R. Greenhalgh (INL), Jay D. Hix (INL), Camas M. Walker (INL), James T. Johnson (INL), Katherine Wilsdon (INL)
Machine Learning Optimization for the Monte Carlo Particle Simulation of an NDA Technique
2:25–2:35PM EDT
Nelson H. Snow (Idaho State), Christopher Reynolds (GE Vernova Advanced Research)