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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.
Jacob D. Smith, Dan Kotlyar
Nuclear Technology | Volume 211 | Number 2 | October 2025 | Pages S17-S28
Research Articles | doi.org/10.1080/00295450.2025.2465212
Articles are hosted by Taylor and Francis Online.
This paper presents preliminary neutronics analyses for nuclear thermal propulsion (NTP) reactors using nodal diffusion codes. NTP core neutronics analyses typically rely on Monte Carlo (MC) codes, which are computationally expensive and can be prohibitive to use in transient simulations. The primary objective of this study is to demonstrate a framework for NTP analysis that is better aligned with conventional methods widely used in modeling of light water reactors.
This study is only the first step to using an adapted homogenization procedure. Here, the few-group macroscopic cross sections are generated using a single MC simulation and fed into a diffusion code to obtain the multiplication factor and spatial power distribution.
This paper investigates various homogenization techniques through several one-dimensional and two-dimensional sensitivity analyses. To ensure that the MC solution is reproduced by the diffusion solver, reference surface discontinuity factors (DFs) are generated using a Jacobian-Free Newton Krylov (JFNK) iterative scheme. These DFs are then applied as equivalence correction parameters in a NERVA-styled NTP core. The solution obtained by the nodal diffusion code DYN3D yields near perfect agreement with the reference power profile only when complemented by the JFNK-generated DFs.