Fabian Zills aims at applying machine learning methods to approximate potential energy surfaces.
For this purpose, he develops software to generate such machine-learned potentials and apply them on different systems.
Furthermore, Fabian Zills is interested in post-processing of molecular dynamics simulations, for which the development of corresponding analysis tools and optimized versioning of project data extend his research topic.