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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
February 2026
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January 2026
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November 2025
Latest News
DOE lays out fuel cycle goals in RFI to states
The Department of Energy has issued a request for information inviting states to express interest in hosting Nuclear Lifecycle Innovation Campuses. According to the DOE, the proposed campuses could support work across the nuclear fuel life cycle, with a primary focus on fuel fabrication, enrichment, spent fuel reprocessing or recycling, separations, and radioactive waste management.
The DOE said the RFI marks the first step toward potentially establishing voluntary federal-state partnerships designed to build a coherent, end-to-end nuclear energy strategy for the country.
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)
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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)
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