A universal synthetic dataset for machine learning on spectroscopic data. - Jan Schuetzke; Nathan J. Szymanski; Markus Reischl (CoRR, 2022)

Spectra-based Neural Networks for Uncovering Novel Substances in Material Discovery Experiments. - Jan Schuetzke (2024)

Accelerating Materials Discovery: Automated Identification of Prospects from X-Ray Diffraction Data in Fast Screening Experiments. - Jan Schuetzke; Simon Schweidler; Friedrich R. Münke; Andre Orth; Anurag D. Khandelwal; Ben Breitung; Jasmin Aghassi-Hagmann; Markus Reischl (Adv. Intell. Syst., 2024)

A review of adaptable conventional image processing pipelines and deep learning on limited datasets. - Friedrich R. Münke; Jan Schuetzke; Felix Berens; Markus Reischl (Mach. Vis. Appl., 2024)