Qualification of components operating in future fusion power
plants will be heavily reliant on simulations of component
behaviour. The lack of representative test environments for many
aspects of the expected operating environment will necessitate full
or partial virtual qualification of components. The cornerstone
of virtual qualification is …
This study aims to systematically examine various methods leveraging machine learning (ML) to assimilate data for investigating thermal systems. These measured or observed data may include temperature or thermal material properties and could be synthetically (computationally) generated or experimentally obtained. The goal of these ML-augmented meth…
The successful development of fusion power will rely on the key technology of breeder blanket components. These components surround the fusion plasma, providing significant heat for power generation, and breeding the tritium fuel on which the plasma reaction depends. However, the technology for these components remains at a low technology readin…
