Computational Material Design with DFT and Machine Learning | ||
The Hofmann group is a small, dynamic computational group that studies the structural and physical properties of inorganic/organic hybrid interfaces. Located at the Institute of Solid State Physics, the activities of the group are between that of a pure theory and that of an experimental group: We engage in method development and implementation (both into our own machine-learning algorithm, SAMPLE, and into the widespread DFT code FHI-aims) as well as in “computer experiments”, where we apply state-of-the-art methods to realistic, technologically relevant interfaces. Thereby, we support – and are in turn supported – by numerous renowned theoretical and experimental groups in Europe and around the globe. Our research interests include
which we study (mostly) with the these techniques:
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