Rohloff, M.; Anke, B.; Kasian, O.; Zhang, S.; Lerch, M.; Scheu, C.; Fischer, A.: Enhanced photoelectrochemical water oxidation performance by fluorine incorporation in BiVO4 and Mo: BiVO4 thin film photoanodes. ACS Applied Materials and Interfaces 11 (18), pp. 16430 - 16442 (2019)
Li, Y.; Fang, X.; Zhang, S.; Feng, X.: Microstructure evolution of FeNiCr alloy induced by stress-oxidation coupling using high temperature nanoindentation. Corrosion Science 135, pp. 192 - 196 (2018)
Zhang, S.; Scheu, C.: Evaluation of EELS spectrum imaging data by spectral components and factors from multivariate analysis. Microscopy 67 (suppl_1), pp. i133 - i141 (2018)
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
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…