Jan Schützke, M.Sc.

  • Karlsruhe Institute of Technology (KIT)
    Institute for Automation and Applied Informatics (IAI)

    Hermann-von-Helmholtz-Platz 1
    76344 Eggenstein-Leopoldshafen

    Fax: +49 721 608 22602
    Building-No.: 445 / 449 / 668

Publications


2022
A Critical Review of Neural Networks for the Use with Spectroscopic Data
Schuetzke, J.; Szymanski, N. J.; Ceder, G.; Reischl, M.
2022, August 24. 33rd European Crystallographic Meeting (ECM 2022), Versailles, France, August 23–27, 2022
A universal synthetic dataset for machine learning on spectroscopic data
Schützke, J.; Szymanski, N. J.; Reischl, M.
2022. doi:10.5445/IR/1000148149
Methods and Prospects of Machine Learning applied to Challenges in Crystallography
Reischl, M.; Schützke, J.
2022. DGK München
2020
Application of Machine Learning to XRD Phase Identification
Schützke, J.; Jones, B.; Henderson, N.; Rodesney, N.; Benedix, A.; Knorr, K.; Mikut, R.; Reischl, M.
2020. Denver X-Ray Conference (2020), Denver, CO, USA, August 17–20, 2020
Siamese Networks for 1D Signal Identification
Schützke, J.; Benedix, A.; Mikut, R.; Reischl, M.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 17–31, KIT Scientific Publishing