New at the Institute: Fabian Zills

October 2, 2021

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.

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