Kawakita, J.; Stratmann, M.; Hassel, A. W.: High Voltage Pulse Anodization of a NiTi Shape Memory Alloy. Journal of the Electrochemical Society 154 (6), pp. C294 - C298 (2007)
Wapner, K.; Stratmann, M.; Grundmeier, G.: In-situ Infrared Spectroscopic and Scanning Kelvin Probe Measurements of Water and Ion Transport Kinetics at Polymer/Metal Interfaces. Electrochimica Acta 51 (16), pp. 3303 - 3315 (2006)
Akiyama, E.; Stratmann, M.; Hassel, A. W.: Discrete electrochemical transients of aluminium alloys generated by slurry jet impingement. J. Phys. D: Appl. Phys. 39, pp. 3157 - 3164 (2006)
Fushimi, K.; Stratmann, M.; Hassel, A. W.: Electropolishing of NiTi shape memory alloys in methanolic H2SO4. Electrochim. Acta 52, pp. 1290 - 1295 (2006)
Grundmeier, G.; Rossenbeck, B.; Roschmann, K. J.; Ebbinghaus, P.; Stratmann, M.: Corrosion Protection of Zn-Phosphate Containing Water Borne Dispersion Coatings on Steel. Part 2: Corrosive de-adhesion of model films on iron substrates. Corrosion Science 48 (11), pp. 3716 - 3730 (2006)
Rossenbeck, B.; Ebbinghaus, P.; Stratmann, M.; Grundmeier, G.: Corrosion protection of Zn-phosphate containing water borne dispersion coatings on steel. Part 1: Design and Analysis of Model Water Based Latex Films on Iron Substrates. Corrosion Science 48, pp. 3703 - 3715 (2006)
Smith, A.J.; Stratmann, M.; Hassel, A. W.: Investigation of the effect of impingement angle on tribocorrosion using single impacts. Electrochim. Acta 51, pp. 6521 - 6526 (2006)
Grundmeier, G.; Stratmann, M.: Adhesion and De-adhesion mechanisms at polymer/metal interfaces: Mechanistic understanding based on in situ studies of buried interfaces. Annual Review of Materials Research 35, pp. 571 - 615 (2005)
Stratmann, M.: Corrosion Stability of Polymer-Coated Metals - New Concepts Based on Fundamental Understanding. Corrosion 61 (12), pp. 1115 - 1126 (2005)
Stratmann, M.: Hans-Jürgen Engell - Preface. Zeitschrift fur Physikalische Chemie - International Journal of Research in Physical Chemistry & Chemical Physics 219 (11), pp. 1445 - 1446 (2005)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
Data-rich experiments such as scanning transmission electron microscopy (STEM) provide large amounts of multi-dimensional raw data that encodes, via correlations or hierarchical patterns, much of the underlying materials physics. With modern instrumentation, data generation tends to be faster than human analysis, and the full information content is…
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.