Genchev, G.; Erbe, A.: Raman Spectroscopy of Mackinawite FeS in Anodic Iron Sulfide Corrosion Products. Journal of the Electrochemical Society 163 (6), pp. C333 - C338 (2016)
Nayak, S.; Erbe, A.: Mechanism of the potential-triggered surface transformation of germanium in acidic medium studied by ATR-IR spectroscopy. Physical Chemistry Chemical Physics 18, pp. 25100 - 25109 (2016)
Xie, K.; Yang, F.; Ebbinghaus, P.; Erbe, A.; Muhler, M.; Xia, W.: A reevaluation of the correlation between the synthesis parameters and structure and properties of nitrogen-doped carbon nanotubes. Journal of Energy Chemistry 24 (4), pp. 407 - 415 (2015)
Beese-Vasbender, P. F.; Nayak, S.; Erbe, A.; Stratmann, M.; Mayrhofer, K. J. J.: Electrochemical characterization of direct electron uptake in electrical microbially influenced corrosion of iron by the lithoautotrophic SRB Desulfopila corrodens strain IS4. Electrochimica Acta 167, pp. 321 - 329 (2015)
Krzywiecki, M.; Grządziel, L.; Sarfraz, A.; Iqbal, D.; Szwajca, A.; Erbe, A.: Zinc oxide as a defect-dominated material in thin films for photovoltaic applications - experimental determination of defect levels, quantification of composition, and construction of band diagram. Physical Chemistry Chemical Physics 17 (15), pp. 10004 - 10013 (2015)
Paunoiu, A.; Moirangthem, R. S.; Erbe, A.: Whispering gallery modes in intrinsic TiO2 microspheres coupling to the defect-related photoluminescence after visible excitation. Physica Status Solidi (RRL) - Rapid Research Letters 9, pp. 241 - 244 (2015)
Iqbal, D.; Sarfraz, A.; Stratmann, M.; Erbe, A.: Solvent-starved conditions in confinement cause chemical oscillations excited by passage of a cathodic delamination front. Chemical Communications 51 (89), pp. 16041 - 16044 (2015)
Krzywiecki, M.; Sarfraz, A.; Erbe, A.: Towards monomaterial p-n junctions: single-step fabrication of tin oxide films and their non-destructive characterisation by angle-dependent X-ray photoelectron spectroscopy. Applied Physics Letters 107 (23), 231601 (2015)
Toparli, C.; Sarfraz, A.; Erbe, A.: A new look at oxide formation at the copper/electrolyte interface by in situ spectroscopies. Physical Chemistry Chemical Physics 17, pp. 31670 - 31679 (2015)
Groche, P.; Wohletz, S.; Erbe, A.; Altin, A.: Effect of the primary heat treatment on the bond formation in cold welding of aluminum and steel by cold forging. Journal of Materials Processing Technology 214 (10), pp. 2040 - 2048 (2014)
Kemnade, N.; Chen, Y.; Muglali, M. I.; Erbe, A.: Electrochemical reductive desorption of alkyl self-assembled monolayers studied in situ by spectroscopic ellipsometry: Evidence for formation of a low refractive index region after desorption. Physical Chemistry Chemical Physics 16 (32), pp. 17081 - 17090 (2014)
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…
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.