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.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
July 2026
Nuclear Technology
Fusion Science and Technology
Latest News
Analysis: China’s nuclear power capacity nearly doubled in 10 years
Operational nuclear power sites in China, May 2026. (Source: EIA, with additional data from World Bank, Global Energy Monitor, Global Nuclear Power Tracker, and the IAEA. Image: EIA)
China’s nuclear power capacity has increased from 31.4 gigawatts in 2016 to 58.7 GW in May—an 87 percent increase in the last 10 years, according to the U.S. Energy Information Administration.
The EIA’s analysis of China’s nuclear power growth was based on information gathered by the agency, as well as data from the World Bank, Global Energy Monitor, Global Nuclear Power Tracker, and the International Atomic Energy Agency. It was published on June 5.
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.