ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
May 2024
Jan 2024
Latest Journal Issues
Nuclear Science and Engineering
June 2024
Nuclear Technology
Fusion Science and Technology
Latest News
How robust is HALEU from a nonproliferation perspective?
Shikha Prasad
High-assay low-enriched uranium (HALEU) has emerged as a popular fuel choice for advanced small modular reactors due to its long power production periods before refueling. It is currently being pursued by TerraPower, X-energy, BWX Technologies, Kairos, Oklo, and other reactor companies. HALEU has a uranium-235 enrichment ranging from 5 percent to 20 percent, whereas traditional LWRs use low-enriched uranium fuel enriched up to 5 percent.
HALEU will provide power for longer durations, compared with traditional LWRs. But could it also provide an opportunity for more rapid proliferation, as is speculated in a 2023 National Academy of Sciences report on advanced nuclear reactors (nap.nationalacademies.org/catalog/26630/)?
If a nuclear proliferator conspires to divert fresh nuclear fuel for weapons production when it has not been used in a reactor, the effort required in separative work units (SWUs) to enrich U-235 from 5 percent to 90 percent and that required to enrich from 20 percent to 90 percent are both very small, compared with the effort required to enrich U-235 from its natural abundance to the initial 5 percent.
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)
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
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)
To join the conversation, you must be logged in and registered for the meeting.
