Stratmann, M.: Electrochemical reactions of metal surfaces, covered by thin condensed electrolyte layers. Bulletin of Electrochemistry 8, p. 30 - 30 (1992)
Stratmann, M.; Streckel, H.: Monitoring of blistering of organic coatings by a contact-free measurement. Werkstoffe und Korrosion 43, 6, pp. 316 - 320 (1992)
Stratmann, M.; Wolpers, M.; Lösch, R.; Volmer, M.: The structure and reactivity of chemically modified reactive metal surfaces. Bulletin of Electrochemistry 8, p. 8 - 8 (1992)
Volmer-Uebing, M.; Stratmann, M.: A Surface Analytical and an Electrochemical Study of Iron Surfaces Modified by Thiols. Applied Surface Science 55, 1, pp. 19 - 35 (1992)
Reynders, B.; Stratmann, M.: Adsorption of simple S-organic compounds on iron surfaces prepared in an UHV-system. Fresenius' Journal of Analytical Chemistry 341 (5-6), pp. 406 - 407 (1991)
Wolpers, M.; Stratmann, M.; Viefhaus, H.: Structure and stability of silane modified metal surfaces. Fresenius' Journal of Analytical Chemistry 341 (5-6), pp. 337 - 338 (1991)
Feser, R.; Stratmann, M.: Neue Erkenntnisse zum Korrosionsschutz von organischen Beschichtungen auf Eisen. Werkstoffe und Korrosion 42, 4, pp. 187 - 195 (1991)
Stratmann, M.; Hoffmann, K.; Müller, J.: Die Bedeutung von Rostschichten für den Ablauf von Korrosionsreaktionen bei niedrig legierten Stählen. Werkstoffe und Korrosion 42, 9, pp. 467 - 472 (1991)
Stratmann, M.; Streckel, H.; Feser, R.: A new technique able to measure directly the delamination of organic polymer films. Corrosion Science 32 (4), 4, pp. 467 - 470 (1991)
Stratmann, M.; Streckel, H.; Feser, R.: Ein neues Verfahren zur Untersuchung der Delamination von Polymerbeschichtungen. Farbe und Lack 97, pp. 9 - 13 (1991)
Stratmann, M.; Streckel, H.; Kim, K. T.; Yee, S.: The Investigation of the Corrosion Properties of Metal Surfaces Covered by thin Electrolyte Layers. La Metallurgia Italiana 83, pp. 665 - 670 (1991)
Stratmann, M.; Wolpers, M.; Streckel, H.; Feser, R.: Use of a Scanning-Kelvinprobe in the Investigation of Electrochemical Reactions at the Metal/Polymer Interface. Berichte Bunsengesellschaft Physikalische Chemie 95, 11, pp. 1365 - 1375 (1991)
Uebing-Volmer, M.; Reynders, B.; Stratmann, M.: Anbindungsverhalten organischer Monomere auf Eisenoberflächen und Korrosion der durch die Anbindung chemisch modifizierten Oberflächen. Werkstoffe und Korrosion 42 (1), pp. 19 - 34 (1991)
Wolpers, M.; Viefhaus, H.; Stratmann, M.: Surface Analytical Investigation on Metal Surfaces, Modified by LB Films of Silanes. Applied Surface Science 47, 1, pp. 49 - 62 (1991)
Yee, S.; Stratmann, M.; Oriani, R. A.: Application of Kelvin Microprobe to the Corrosion of Metals in Humid Atmospheres. Journal Electrochemical Society 138, 1, pp. 55 - 61 (1991)
Stratmann, M.: The Atmospheric Corrosion of Iron - A Discussion of the Physico-Chemical Fundamentals of this Omnipresent Corrosion Process. Berichte Bunsengesellschaft Physikalische Chemie 94 (6), pp. 626 - 639 (1990)
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
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…
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.