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.
Emil E. Leitz
Nuclear Technology | Volume 91 | Number 1 | July 1990 | Pages 11-15
Technical Paper | Safety of Next Generation Power Reactor / Fission Reactor | doi.org/10.13182/NT90-A34437
Articles are hosted by Taylor and Francis Online.
The next-generation power reactors need to include consideration for collection and application of operating data and follow-on analysis in plant designs to enhance future use of the data during the life of the plant. The N Reactor experience at the Hanford Site supports the need for such a system, and some of the elements that such a system would require are described. An equipment identification code for each significant plant component is fundamental to an information system. This unique code is used to maintain equipment history files and to cross-reference other data records to these files. The system output must be oriented to ensure that complete data on any specific component are available on demand.