Fenster, J. C.; Rohwerder, M.; Hassel, A. W.: The impedance-titrator: A novel setup to perform automated pH-dependent electrochemical experiments. Materials and Corrosion-Werkstoffe und Korrosion 60 (11), pp. 855 - 858 (2009)
Rohwerder, M.; Duc, L.; Michalik, A.: In situ investigation of corrosion localised at the buried interface between metal and conducting polymer based composite coatings. Electrochimica Acta 54 (25), pp. 6075 - 6081 (2009)
Rohwerder, M.; Isik-Uppenkamp, S.; Stratmann, M.: Application of SKP for in situ monitoring of ion mobility along insulator/insulator interfaces. Electrochimica Acta 54 (25), pp. 6058 - 6062 (2009)
Borissov, D.; Isik-Uppenkamp, S.; Rohwerder, M.: Fabrication of iron nanowire arrays by electrodeposition into porous alumina. The Journal of Physical Chemistry C 113 (8), pp. 3133 - 3138 (2009)
Frenznick, S.; Stratmann, M.; Rohwerder, M.: A new advanced experimental setup for in-depth study of the interfacial reaction during reactive wetting. Review of Scientific Instruments 79 (4), 043901 (2008)
de la Fuente, D.; Rohwerder, M.: Fundamental investigation on the stability of the steel/coating interfaces contaminated by submicroscopic salt particles. Progress in Organic Coatings 61 (2-4), pp. 233 - 239 (2008)
Hausbrand, R.; Stratmann, M.; Rohwerder, M.: The physical meaning of electrode potentials at metal surfaces and polymer/metal interfaces: Consequences for delamination. Journal of the Electrochemical Society 155 (7), pp. C369 - C379 (2008)
Rohwerder, M.; Michalik, A.: Conducting polymers for corrosion protection: What makes the difference between failure and success? Electrochimica Acta 53 (3 SPEC. ISS.), pp. 1301 - 1314 (2007)
New machine learning framework makes metal recycling more sustainable without compromising on mechanical properties. Results now published in journal Science Advances.
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…