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Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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A closer look at the initial NLIC selections—Part 2
In January, the Department of Energy announced its new Nuclear Lifecycle Innovation Campus (NLIC) program, inviting states via a request for information to express their interest in hosting a facility supporting work from the front to the back end of the nuclear fuel cycle.
By April, 26 states had expressed interest in hosting such a facility. At the end of July, the DOE signed memorandums of understanding with five states—Idaho, Louisiana, Oklahoma, Tennessee, and Utah—to more closely explore the possibilities of state-federal partnerships. These MOUs are not firm commitments from either the federal or state governments. Time will tell which—if any—of the five states develop projects through the program. In the meantime, today, we are taking a close look at what Utah, Idaho, Tennessee can offer in terms of a preexisting nuclear sector that could support new fuel cycle developments.
Technical Session|Deterministic Transport Methods and Applications
Tuesday, April 29, 2025|3:15–4:55PM MDT|Lawrence A
Session Chair:
Hansol Park (ANL)
Alternate Chair:
Ben Yee (LLNL)
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Subgroup and Resonance Spectrum Expansion Self-Shielding Methods Using a Discontinuous Isogeometric Analysis Discrete Ordinate Discretisation of the Neutron Transport Equation
3:15–3:40PM MDT
Kypros Donegan (Imperial College London), Luis J.W. Fernandes (Imperial College London), Alain Hébert (Ecole Polytechnique Montreal), Matthew D. Eaton (Imperial College London), Charles Latimer (Rolls-Royce), Seth G. Wilson (Rolls-Royce), József Kópházi (Budapest Univ. Technology and Economics)
Paper
A Posteriori Source-Driven Spatial Error Estimators for Adaptive Mesh Refinement in the Context of SN-MOC Transport in a 1-D Slab Geometry
3:40–4:05PM MDT
Alexis Anne (Commissariat a l'Energie Atomique), Emiliano Masiello (CEA)
Presentation Slides (Visible to Attendees) — Presentation
Offline Maximizing Minimally Invasive Proper Orthogonal Decomposition for Reduced Order Modeling of Sn Radiation Transport
4:05–4:30PM MDT
Quincy Huhn (TAMU), Jean Ragusa (TAMU)
Machine-Learning-Based Pebble Power Reconstruction for Pebble-bed Reactor Analysis
4:30–4:55PM MDT
Seongjin Jeong (ANL), Changho Lee (ANL), Shikhar Kumar (ANL), Hansol Park (ANL)