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 ANS Winter Conference & Expo
November 15–18, 2026
Phoenix, AZ|Arizona Grand Resort & Spa
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
September 2026
Fusion Science and Technology
August 2026
Latest News
LLNL, Ampera partner to develop thorium-based TRISO fuel
Lawrence Livermore National Laboratory has formed a strategic partnership with Ampera to develop the company’s nuclear fuel concept through a project named THUNDER, for Thorium Unimodal Droplet Ejection for Reactors.
The focus of THUNDER is fabricating TRISO made with kernels of thorium rather than the usual uranium. LLNL and Ampera will evaluate and optimize liquid metal–jetting technology to produce highly uniform, spherical kernels of thorium-232 for later processing into TRISO fuel.
Pin-Wu Kao, Jing-Tong Yang, Chian-Yeh Ho, Cheng-Hsien Chou, Ruey-Chang Huang, and, Ta-Chieh Sun
Nuclear Technology | Volume 99 | Number 2 | August 1992 | Pages 222-234
Technical Paper | Nuclear Fuel Cycle | doi.org/10.13182/NT92-A34692
Articles are hosted by Taylor and Francis Online.
Power reactor benchmark calculations using the advanced code package CASMO-3 /SIMULATE-3 with new models have been performed for nine cycles of Chinshan Unit 1 and six cycles of Kuosheng Unit 1. The fuel reload designs include gadolinia as a burnable absorber, natural uranium axial blankets, and fuel from different vendors. The calculated results for cold critical tests and traversing in-core probe (TIP) responses are compared with measured data. These comparisons show that the new modeling accurately predicts important physics parameters for power reactors, and it is more accurate than the conventional model. However, more studies of the TIP adaption model are needed in order to gain more experience for its application.