Pengel, S.; Niu, F.; Nayak, S.; Tecklenburg, S.; Chen, Y.-H.; Ebbinghaus, P.; Schulz, R.; Yang, L.; Biedermann, P. U.; Gygi, F.et al.; Schmid, R.; Galli, G.; Wippermann, S. M.; Erbe, A.: Oxygen reduction and water at the semiconductor/solution interface probed by stationary and time-resolved ATR-IR spectroscopy coupled to electrochemical experiments and DFT calculations. In: Program of the 8th International Conference on Advanced Vibrational Spectroscopy (ICAVS) – Oral Abstracts, pp. 130 - 131 (Eds. Lendl, B.; Koch, C.; Kraft, M.; Ofner, J.; Ramer, G.). 8th International Conference on Advanced Vibrational Spectroscopy (ICAVS), Vienna, Austria, July 12, 2015 - July 17, 2015. (2015)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.