Announcing Master Thesis Topics (2026)

Mar 4, 2026 1 min read

Our group is announcing five master thesis topics related to atomistic modelling of materials.

The available topics and supervisors are:

Univerzalni strojno naučeni modeli za atomističke simulacije (Ivor Lončarić)
Using machine-learned interatomic potentials to calculate excited-state properties of nano-porous graphene (Bernhard Kretz)
Physics-informed machine learning of Hamiltonians for nano-porous graphene (Bernhard Kretz)
Simulacije kvazi-dvodimenzionalnih hibridnih halogenidnih perovskita iz prvih principa (Juraj Ovčar)
Simulacije visokoentropijskih slitina na bazi volframa za fuzijske primjene (Juraj Ovčar)

Click here to read the abstracts of the topics and send us an email if you want to learn more.