In this type of master project, you will use large-scale simulation frameworks to model the behavior of semiconductor materials and defects embedded within them. Relevant projects include machine learning prediction of novel semiconductor defect hosts, explorative studies of new defect candidates for color centers, and in-depth studies of defect properties such as formation energy diagrams, emission line energies and phonon interactions.
Methodology for master project: Theoretical modeling using density functional theory (DFT)
Prerequisite knowledge:
Recommended courses to take during first semesters of master programme: