Hodnik, N.; Dehm, G.; Mayrhofer, K. J. J.: Importance and Challenges of Electrochemical in Situ Liquid Cell Electron Microscopy for Energy Conversion Research. Accounts of Chemical Research 49 (9), pp. 2015 - 2022 (2016)
Cherevko, S.; Geiger, S.; Kasian, O.; Mingers, A. M.; Mayrhofer, K. J. J.: Oxygen evolution activity and stability of iridium in acidic media. Part 2. – Electrochemically Grown Hydrous Iridium Oxide. Journal of Electroanalytical Chemistry 774, pp. 102 - 110 (2016)
Bandarenka, A. S.; Mayrhofer, K. J. J.: Electrocatalysis for sustainable energy conversion or electrocatalysis today Preface. Catalysis Today 262, p. 1 (2016)
Cherevko, S.; Keeley, G. P.; Kulyk, N.; Mayrhofer, K. J. J.: Pt Sub-Monolayer on Au: System Stability and Insights into Platinum Electrochemical Dissolution. Journal of the Electrochemical Society 163 (3), pp. H228 - H233 (2016)
Keeley, G. P.; Cherevko, S.; Mayrhofer, K. J. J.: The Stability Challenge on the Pathway to Low and Ultra-Low Platinum Loading for Oxygen Reduction in Fuel Cells. ChemElectroChem 3 (1), pp. 51 - 54 (2016)
Reier, T.; Pawolek, Z.; Cherevko, S.; Bruns, M.; Jones, T.; Teschner, D.; Selve, S.; Bergmann, A.; Nong, H. N.; Schloegl, R.et al.; Mayrhofer, K. J. J.; Strasser, P.: Molecular Insight in Structure and Activity of Highly Efficient, Low-Ir Ir-Ni Oxide Catalysts for Electrochemical Water Splitting (OER). Journal of the American Chemical Society 137 (40), pp. 13031 - 13040 (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)
Mezzavilla, S.; Baldizzone, C.; Mayrhofer, K. J. J.; Schüth, F.: General Method for the Synthesis of Hollow Mesoporous Carbon Spheres with Tunable Textural Properties. ACS Applied Materials and Interfaces 7 (13), pp. 12914 - 12922 (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
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.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…