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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|3:30–5:15PM PDT|Continental Ballroom 1
Session Chair:
Akio Yamamoto (Nagoya Univ.)
Alternate Chair:
Mathieu Hursin (EPFL)
Session Organizer:
Go Chiba (Hokkaido University)
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Analytical Description of the Neutron Up-Scattering in the Resonance Range
3:30–3:50PM PDT
A. Bengoechea (CEA), G. Noguere (CEA), D. Bernard (CEA), P. Tamagno (CEA)
Paper
Implementation of Unresolved Resonance Region Probability Tables in the GNDS Format
3:50–4:10PM PDT
M.-A. Descalle (LLNL), C.M. Mattoon (LLNL), M.S. McKinley (LLNL), J. Northrop (Oregon State), G. Gert (LLNL), B.R. Beck (LLNL), A. Dreyfuss (LLNL)
Improved Evaluated Nuclear Data in the Resonance Region by Combining Energy Dependent Measurements and Depletion Calculations: Application to Pu-239+n, Pu-240+n and Pu-241+n
4:10–4:30PM PDT
M. Hursin (Ecole Polytechnique Fédérale de Lausanne), D. Rochman (Paul Scherrer Institute), S. van der Marck (Nuclear Research and Consultancy Group)
On the Possible use of Propagation of Resonance Parameters Uncertainties Using the R-Matrix Formalism
4:30–4:50PM PDT
Pierre Sole (IRSN), Vaibhav Jaiswal (IRSN), Cédric Jouanne (CEA)
Predicting (n,2n) Cross Sections Using Machine Learning
4:50–5:10PM PDT
Rohan Gaya (Univ. Cambridge), Valeria Raffuzzi (Univ. Cambridge), Eugene Shwageraus (Univ. Cambridge), Lee Morgan (AWE)