-
In a fusion reactor its walls must endure intense heat fluxes as well as a constant bombardment of neutrons and plasma species. Traditionally solid materials such as tungsten have been the primary
-
machine-learning calibration to validation against experimental data. This job offer is part of the Horizon Europe project AIM. AIM (AI-Multiscale Integration for Waste-to-Value Digital Twins) is a four
-
solid materials such as tungsten have been the primary candidates chosen due to its high melting point, good thermal conductivity and low erosion rate. However, transitioning to the long-term timescales
-
for Waste-to-Value Digital Twins) is a four-year project, funded by the EU through Horizon Europe. It brings together seven research groups and companies across Europe to develop advanced computational tools