ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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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
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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!
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Nuclear Science and Engineering
February 2025
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Latest News
IAEA’s nuclear security center offers hands-on training
In the past year and a half, the International Atomic Energy Agency has established the Nuclear Security Training and Demonstration Center (NSTDC) to help countries strengthen their nuclear security regimes. The center, located at the IAEA’s Seibersdorf laboratories outside Vienna, Austria, has been operational since October 2023.
Min Gao, Yi Shi
Nuclear Science and Engineering | Volume 199 | Number 2 | February 2025 | Pages 325-337
Note | doi.org/10.1080/00295639.2024.2363089
Articles are hosted by Taylor and Francis Online.
In this work, we develop a modified implicit Monte Carlo method for the frequency-dependent (multigroup) three-temperature (3T) radiative transfer equations. A new reformulation of the 3T model is utilized to deal with the coupling between the electron and ion energies. This will result in an effective scattering term, together with a combination source term of electron and ion energies, which can be resolved by the Monte Carlo simulations. The method is proven to retain the asymptotic preserving property in the limit where the electron-ion coupling coefficient tends to zero or infinity. Furthermore, numerical simulations confirm the unconditional stability of the new method as well as its ability to preserve the total energy conservation. Several numerical results are presented to showcase the efficacy of this new method.