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.
Karl Hornyik, John E. Grund
Nuclear Technology | Volume 23 | Number 1 | July 1974 | Pages 28-37
Technical Paper | Reactor Siting | doi.org/10.13182/NT74-A31431
Articles are hosted by Taylor and Francis Online.
Analytic models have been developed and applied by the authors to investigate the hazards to a nuclear power plant from air traffic. Separate models applying to collisions with and crashes into the plant, respectively, employ concepts of traffic density and crash site distributions. These, along with the more conventional concepts of accident rates and effective plant area, are used to determine the annual strike probability of aircraft into safety-related plant structures. Although the models are quite general, they are applied to two specific flight patterns of common interest. The probability maps which are obtained may be used to resolve siting problems in a quantitative manner.