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Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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Front-end nuclear fuel supply cooperation: Turning allied interdependence into strategic advantage
The global nuclear revival, which is fueled by unprecedented demand for firm, affordable, dispatchable power for artificial intelligence and data center build-out, energy security imperatives, and climate commitments, has exposed a structural reality of the Western fuel cycle: No single allied nation currently possesses the full suite of front-end capabilities. From mining through conversion, enrichment, fabrication, and the emerging deconversion and metallization steps required for reactor fuels, capability is distributed across Canada, France, Japan, the United Kingdom, and the United States (collectively, the “Sapporo Five”), as well as a small group of close partners.
Technical Session|Methods
Monday, April 22, 2024|10:15AM–12:00PM PDT|Franciscan C
Session Chair:
Tatsuya Fujita (Japan Atomic Energy Agency)
Alternate Chair:
Thibault Sauzedde (CEA)
Session Organizer:
Go Chiba (Hokkaido University)
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A Comparison of the Modal Expansion Method and Exact-to-Precision Generalized Perturbation Theory Capabilities in Reactor Physics
10:15–10:35AM PDT
T. Sauzedde (CEA), P. Archier (CEA), F. Nguyen (CEA)
Paper
Adjoint-Based Perturbation Theory for Heat Conduction and Dynamics Coupled Multiphysics Simulations of Nuclear Reactor Transients
10:35–10:55AM PDT
Alexis Maldonado (LANL), Christopher M. Perfetti (Univ. New Mexico)
Presentation Slides (Visible to Attendees) — Presentation
Development of an Adjoint Approach for Calculating Sensitivities of Effective Kinetic Parameters in Continuous-Energy Monte Carlo Code RMC
10:55–11:15AM PDT
S. Jiang (Tsinghua Univ.), K. Wang (Tsinghua Univ.), P. Shen (Tsinghua Univ.)
Bayesian Inverse Problem and Uncertainty Quantification in the Joint Analysis of Neutron and Gamma Corrrelations
11:15–11:35AM PDT
Paul Lartaud (CEA), Philippe Humbert (CEA), Josselin Garnier (Institut Polytechnique de Paris)
Comparison of Bayesian Model Calibration Techniques for Future Application to Fuel Performance Behavior Models
11:35–11:55AM PDT
S. Maccario (École Polytechnique Fédérale de Lausanne), A. Scolaro (École Polytechnique Fédérale de Lausanne), A. Vasiliev (Paul Scherrer Institute), M. Hursin (Paul Scherrer Institute)
