The selection of materials for nuclear applications, such as for fusion reactors, or for next-generation fission, is a complex process with many factors. A material must withstand extreme mechanical and thermal conditions while also being bombarded by high-energy neutrons that displace atoms and alter material properties. Furthermore, some of the nuclear interactions cause the very nature of the atoms to change, via transmutation.
It is routine to calculate the transmutation and activation response of materials for a reactor design. However, there is also a need for more generalised material responses that can be used during material design and selection. Computational techniques have been developed to integrate with the modern inventory system FISPACT-II, and provide a platform for rapid prototyping and scoping studies under different nuclear environments. This paper will present typical results, demonstrating some of the new automated processing of the vast and complex data from inventory simulations.