Dear Psi-k Community, 

we would like to advertise this year’s minisymposium „Machine learning applications in surface science” at the virtual spring meeting of the German Physical Society (DPG).
The aim of this session is to provide a focused overview over the recent applications and development of machine learning algorithms for surface science applications, including image recognition, reinforcement learning, Bayesian statistics-based analysis methods, and much more. Besides topical talks by Maria Chan, Milica Todorović, Christian Wagner and Pascal Friedrich, it offers an on-hand coding workshop and a dedicated virtual poster session. We welcome further contributions from and discussion with the community. The deadline for the abstract submission is Jan 25th (https://www.dpg-tagung.de/ss21/submission.html?language=en)
With best wishes,
Karin Zojer, Stefan Kowarik and Oliver Hofmann