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Division Spotlight
Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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Latest News
BREAKING NEWS: Trump issues executive orders to overhaul nuclear industry
The Trump administration issued four executive orders today aimed at boosting domestic nuclear deployment ahead of significant growth in projected energy demand in the coming decades.
During a live signing in the Oval Office, President Donald Trump called nuclear “a hot industry,” adding, “It’s a brilliant industry. [But] you’ve got to do it right. It’s become very safe and environmental.”
Namjae Choi, Han Gyu Joo
Nuclear Science and Engineering | Volume 195 | Number 9 | September 2021 | Pages 954-964
Technical Paper | doi.org/10.1080/00295639.2021.1887701
Articles are hosted by Taylor and Francis Online.
A target velocity sampling method named the Relative Speed Tabulation (RST) is proposed for the efficient treatment of resonance elastic scattering in the Monte Carlo simulation utilizing graphics processing units (GPU). The RST method samples the relative speed between a neutron and a target nucleus by employing pretabulated probabilities of relative speeds. The target velocity is then determined from the sampled relative velocity and the neutron speed. The motivation was to avoid the rejection process of the Doppler Broadening Rejection Correction (DBRC) method, which can incur a significant reduction in the parallel performance of vector processors, such as GPUs, due to its largely varying rejection rates. The RST can also overcome the weakness of large variance of the Weight Correction Method (WCM), which would involve drastic changes in neutron weights. The verification results obtained for the Mosteller benchmark problems demonstrate that the RST is equivalent to the DBRC in accuracy, while the calculation speed remains at the same level of the WCM.